-
- 
diff --git a/LICENSE-text.html b/LICENSE-text.html
index 48a2137..b4a105d 100644
--- a/LICENSE-text.html
+++ b/LICENSE-text.html
@@ -1,5 +1,5 @@
-Page not found (404)
+Page not found (404)
-
- 
diff --git a/LICENSE.html b/LICENSE.html
index 1ad1faf..112930a 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -1,5 +1,5 @@
-License
+License
-
-
diff --git a/apple-touch-icon.png b/apple-touch-icon.png
new file mode 100644
index 0000000..e20bc80
Binary files /dev/null and b/apple-touch-icon.png differ
diff --git a/articles/a1_introduction.html b/articles/a1_introduction.html
index bd94203..8bca876 100644
--- a/articles/a1_introduction.html
+++ b/articles/a1_introduction.html
@@ -6,6 +6,12 @@
MIT License
+MIT License
-
- 
2. Timing Clonal Peaks • tickTack
+
+
+
+
+
+
@@ -56,8 +62,7 @@
1. Introduction
+1. Introduction
diff --git a/articles/a2_Single_segment_timing.html b/articles/a2_Single_segment_timing.html index abc75b6..44d2249 100644 --- a/articles/a2_Single_segment_timing.html +++ b/articles/a2_Single_segment_timing.html @@ -6,6 +6,12 @@
-
- Running the
2. Timing Clonal Peaks
+2. Timing Clonal Peaks
@@ -207,6 +212,7 @@Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -223,7 +229,6 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -239,10 +244,6 @@ Running the fit function## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -258,6 +259,7 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -273,6 +275,7 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -288,6 +291,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -316,7 +320,9 @@ Running the fit function## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -333,6 +339,9 @@ Running the fit function## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -342,14 +351,16 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -358,20 +369,20 @@ Running the fit function## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -379,90 +390,91 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -470,16 +482,14 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -239,10 +244,6 @@ Running the fit function## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -258,6 +259,7 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -273,6 +275,7 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -288,6 +291,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -316,7 +320,9 @@ Running the fit function## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -333,6 +339,9 @@ Running the fit function## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -342,14 +351,16 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -358,20 +369,20 @@ Running the fit function## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -379,90 +390,91 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -470,16 +482,14 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -273,6 +275,7 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -288,6 +291,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -316,7 +320,9 @@ Running the fit function## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -333,6 +339,9 @@ Running the fit function## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -342,14 +351,16 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -358,20 +369,20 @@ Running the fit function## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -379,90 +390,91 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -470,16 +482,14 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -316,7 +320,9 @@ Running the fit function## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -333,6 +339,9 @@ Running the fit function## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -342,14 +351,16 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -358,20 +369,20 @@ Running the fit function## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -379,90 +390,91 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -470,16 +482,14 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
fit function## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -342,14 +351,16 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -358,20 +369,20 @@ Running the fit function## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -379,90 +390,91 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -470,16 +482,14 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
fit function## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -379,90 +390,91 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -470,16 +482,14 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -488,63 +498,58 @@ Running the fit function## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 finished in 1.1 seconds.
-## Chain 3 finished in 1.1 seconds.
+## Chain 3 finished in 1.2 seconds.
+## Chain 7 finished in 1.1 seconds.
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 1.2 seconds.
-## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.2 seconds.
-## Chain 7 finished in 1.2 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 1.2 seconds.
+## Chain 4 finished in 1.3 seconds.
+## Chain 5 finished in 1.3 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.2 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 3
## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
+## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 5
## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
+## Total execution time: 5.5 seconds.
## ℹ Fitting segment with index 10
## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.5 seconds.
## ℹ Fitting segment with index 30
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
+## Total execution time: 4.4 seconds.
## ℹ Fitting segment with index 31
## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.9 seconds.
## ℹ Fitting segment with index 35
## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37
## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 38
## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
+## Total execution time: 3.8 seconds.
## ℹ Fitting segment with index 40
## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 41
## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
+## Total execution time: 3.6 seconds.
## ℹ Fitting segment with index 59
## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
+## Total execution time: 1.4 seconds.
## ℹ Fitting segment with index 68
## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
+## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 77
## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Mean chain execution time: 1.1 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 79
## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
+## Mean chain execution time: 4.6 seconds.
+## Total execution time: 4.9 seconds.
## ℹ Fitting segment with index 87
## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 100
## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 106
## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 126
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
+## Mean chain execution time: 4.8 seconds.
+## Total execution time: 5.2 seconds.
## ℹ Fitting segment with index 128
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
+## Total execution time: 4.2 seconds.
## ℹ Fitting segment with index 129
## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 134
## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
+## Total execution time: 0.7 seconds.
## ℹ Fitting segment with index 135
## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
+## Mean chain execution time: 6.7 seconds.
+## Total execution time: 7.1 seconds.
## ℹ Fitting segment with index 149
## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
+## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 150
## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154
## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
+## Mean chain execution time: 5.3 seconds.
+## Total execution time: 5.9 seconds.
## ℹ Fitting segment with index 155
## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
+## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 165
## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
+## Mean chain execution time: 0.7 seconds.
+## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 168
## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
+## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 170
## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173
## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
+## Total execution time: 1.3 seconds.
## ℹ Fitting segment with index 175
## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181
## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
+## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 189
## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
+## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 190
## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 3## Running MCMC with 8 parallel chains...
##
@@ -555,6 +560,7 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -562,7 +568,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -577,15 +582,13 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -606,8 +609,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -615,6 +616,7 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -622,21 +624,18 @@ Running the fit function## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -648,27 +647,24 @@ Running the fit function## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -676,226 +672,235 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 finished in 1.5 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 1.6 seconds.
-## Chain 3 finished in 1.6 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 1.6 seconds.
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 1.5 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 5 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.6 seconds.
-## Chain 7 finished in 1.6 seconds.
-## Chain 8 finished in 1.5 seconds.
+## Chain 4 finished in 1.6 seconds.
+## Chain 7 finished in 1.5 seconds.
+## Chain 8 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.8 seconds.
## ℹ Fitting segment with index 5## Running MCMC with 8 parallel chains...
##
@@ -905,13 +910,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -919,19 +924,18 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -948,31 +952,31 @@ Running the fit function## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -983,265 +987,266 @@ Running the fit function## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.7 seconds.
-## Chain 2 finished in 1.7 seconds.
-## Chain 3 finished in 1.7 seconds.
-## Chain 5 finished in 1.7 seconds.
-## Chain 6 finished in 1.7 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 1.7 seconds.
+## Chain 3 finished in 1.7 seconds.
+## Chain 6 finished in 1.6 seconds.
+## Chain 7 finished in 1.6 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.8 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 7 finished in 1.7 seconds.
## Chain 8 finished in 1.7 seconds.
##
## All 8 chains finished successfully.
@@ -1253,12 +1258,10 @@ Running the fit function## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -1269,335 +1272,337 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 4.7 seconds.
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 5.0 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 finished in 5.2 seconds.
+## Chain 3 finished in 5.1 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 5.3 seconds.
-## Chain 7 finished in 5.2 seconds.
-## Chain 8 finished in 5.2 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 5.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.5 seconds.
-## Chain 6 finished in 5.4 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 5.3 seconds.
+## Chain 8 finished in 5.2 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 5.5 seconds.
+## Chain 4 finished in 5.4 seconds.
+## Chain 5 finished in 5.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 5.2 seconds.
-## Total execution time: 5.7 seconds.
## ℹ Fitting segment with index 10## Running MCMC with 8 parallel chains...
##
@@ -1937,14 +1942,14 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
@@ -1959,12 +1964,14 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -1980,14 +1987,13 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -1995,199 +2001,200 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -2196,106 +2203,104 @@ Running the fit function## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 finished in 3.0 seconds.
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.1 seconds.
-## Chain 8 finished in 3.0 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 finished in 3.1 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 3.3 seconds.
## Chain 5 finished in 3.3 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
@@ -2310,15 +2315,20 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2327,325 +2337,320 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.3 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.4 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 finished in 3.5 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.5 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 8 finished in 3.5 seconds.
+## Chain 8 finished in 3.4 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 5 finished in 3.6 seconds.
+## Chain 6 finished in 3.5 seconds.
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.7 seconds.
-## Chain 5 finished in 3.7 seconds.
## Chain 7 finished in 3.6 seconds.
##
## All 8 chains finished successfully.
@@ -2861,6 +2866,7 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -2982,39 +2988,38 @@ Running the fit function## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.2 seconds.
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 finished in 0.3 seconds.
+## Chain 4 finished in 0.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 30## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -3023,336 +3028,336 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 4.0 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 4.1 seconds.
-## Chain 3 finished in 4.0 seconds.
-## Chain 5 finished in 4.0 seconds.
+## Chain 7 finished in 3.9 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.2 seconds.
-## Chain 4 finished in 4.2 seconds.
-## Chain 7 finished in 4.0 seconds.
-## Chain 8 finished in 4.1 seconds.
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.2 seconds.
+## Chain 4 finished in 4.1 seconds.
+## Chain 5 finished in 4.1 seconds.
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.2 seconds.
+## Chain 8 finished in 4.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 4.1 seconds.
-## Total execution time: 4.3 seconds.
## ℹ Fitting segment with index 31## Running MCMC with 8 parallel chains...
##
@@ -3719,152 +3724,150 @@ Running the fit function## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
-## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -3872,185 +3875,187 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 9.7 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 9.9 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 10.0 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 10.2 seconds.
+## Chain 3 finished in 10.1 seconds.
## Chain 4 finished in 10.2 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 10.3 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 10.3 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 10.4 seconds.
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 finished in 10.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 10.4 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 finished in 10.5 seconds.
## Chain 8 finished in 10.5 seconds.
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 10.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 10.3 seconds.
@@ -4080,7 +4085,6 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4101,6 +4105,8 @@ Running the fit function## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4119,6 +4125,7 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4156,6 +4163,7 @@ Running the fit function## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4171,6 +4179,7 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4187,6 +4196,7 @@ Running the fit function## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4201,6 +4211,8 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -4215,8 +4227,7 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -4226,7 +4237,11 @@ Running the fit function## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -4240,6 +4255,7 @@ Running the fit function## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -4251,10 +4267,6 @@ Running the fit function## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -4267,7 +4279,8 @@ Running the fit function## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -4278,9 +4291,6 @@ Running the fit function## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -4289,7 +4299,9 @@ Running the fit function## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -4298,27 +4310,29 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4326,13 +4340,18 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -4340,43 +4359,35 @@ Running the fit function## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 finished in 0.6 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 finished in 0.7 seconds.
+## Chain 3 finished in 0.7 seconds.
## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4385,9 +4396,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
@@ -4396,16 +4404,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.7 seconds.
-## Chain 3 finished in 0.7 seconds.
-## Chain 5 finished in 0.7 seconds.
## Chain 6 finished in 0.7 seconds.
## Chain 7 finished in 0.7 seconds.
## Chain 8 finished in 0.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.7 seconds.
-## Total execution time: 0.8 seconds.
## ℹ Fitting segment with index 35## Running MCMC with 8 parallel chains...
##
@@ -4457,6 +4462,8 @@ Running the fit function## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4495,7 +4502,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4508,6 +4514,11 @@ Running the fit function## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -4519,9 +4530,6 @@ Running the fit function## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -4531,14 +4539,14 @@ Running the fit function## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -4553,179 +4561,176 @@ Running the fit function## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.8 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 finished in 1.0 seconds.
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 0.9 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
@@ -4743,15 +4748,15 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
## Chain 5 finished in 1.0 seconds.
-## Chain 6 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
## Chain 8 finished in 1.0 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.1 seconds.
## Chain 7 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
@@ -4772,16 +4777,17 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -4793,320 +4799,319 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 finished in 3.3 seconds.
## Chain 3 finished in 3.3 seconds.
## Chain 4 finished in 3.2 seconds.
-## Chain 6 finished in 3.2 seconds.
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.4 seconds.
## Chain 7 finished in 3.2 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.3 seconds.
## Chain 8 finished in 3.2 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 3.2 seconds.
+## Mean chain execution time: 3.3 seconds.
## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 37## Running MCMC with 8 parallel chains...
@@ -5448,17 +5453,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 38## Running MCMC with 8 parallel chains...
##
@@ -5472,9 +5477,11 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5492,10 +5499,8 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -5505,311 +5510,311 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 finished in 3.5 seconds.
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 3.5 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 3.5 seconds.
+## Chain 5 finished in 3.4 seconds.
+## Chain 6 finished in 3.4 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
## Chain 7 finished in 3.5 seconds.
## Chain 8 finished in 3.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 3.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.5 seconds.
-## Total execution time: 3.7 seconds.
## ℹ Fitting segment with index 40## Running MCMC with 8 parallel chains...
##
@@ -5817,6 +5822,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -5835,332 +5841,331 @@ Running the fit function## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 3.2 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 finished in 3.3 seconds.
-## Chain 3 finished in 3.2 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 3 finished in 3.4 seconds.
## Chain 4 finished in 3.4 seconds.
-## Chain 5 finished in 3.4 seconds.
-## Chain 6 finished in 3.3 seconds.
+## Chain 6 finished in 3.2 seconds.
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
## Chain 8 finished in 3.3 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.3 seconds.
-## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 41## Running MCMC with 8 parallel chains...
##
@@ -6178,6 +6183,8 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6205,10 +6212,10 @@ Running the fit function## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
@@ -6216,297 +6223,295 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 finished in 2.5 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.5 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 2.6 seconds.
-## Chain 6 finished in 2.6 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 2.6 seconds.
+## Chain 4 finished in 2.6 seconds.
+## Chain 5 finished in 2.5 seconds.
+## Chain 6 finished in 2.6 seconds.
+## Chain 7 finished in 2.5 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.7 seconds.
-## Chain 4 finished in 2.6 seconds.
-## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.6 seconds.
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -6903,6 +6908,11 @@ Running the fit function## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -6984,9 +6994,6 @@ Running the fit function## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7068,9 +7075,6 @@ Running the fit function## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7110,9 +7114,6 @@ Running the fit function## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7190,21 +7191,25 @@ Running the fit function## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 finished in 0.3 seconds.
## Chain 2 finished in 0.3 seconds.
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.3 seconds.
## Chain 4 finished in 0.3 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 0.3 seconds.
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 0.3 seconds.
## Chain 7 finished in 0.3 seconds.
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -7554,12 +7559,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.0 seconds.
+## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -7572,16 +7577,16 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7589,6 +7594,8 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7597,325 +7604,323 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 finished in 3.0 seconds.
+## Chain 1 finished in 2.9 seconds.
+## Chain 5 finished in 2.9 seconds.
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.1 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 finished in 3.1 seconds.
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.3 seconds.
-## Chain 4 finished in 3.2 seconds.
-## Chain 8 finished in 3.2 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.3 seconds.
+## Chain 4 finished in 3.3 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.4 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.3 seconds.
+## Chain 8 finished in 3.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 3.3 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.2 seconds.
-## Total execution time: 3.5 seconds.
## ℹ Fitting segment with index 59## Running MCMC with 8 parallel chains...
##
@@ -7929,8 +7934,6 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7941,6 +7944,7 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7980,7 +7984,6 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -7996,6 +7999,10 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8004,13 +8011,15 @@ Running the fit function## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -8019,18 +8028,22 @@ Running the fit function## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -8040,33 +8053,29 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -8075,91 +8084,89 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
@@ -8167,70 +8174,65 @@ Running the fit function## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.2 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -8239,34 +8241,37 @@ Running the fit function## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
## Chain 2 finished in 1.3 seconds.
## Chain 3 finished in 1.3 seconds.
## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 8 finished in 1.2 seconds.
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 1.2 seconds.
## Chain 7 finished in 1.3 seconds.
+## Chain 8 finished in 1.2 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
-## Total execution time: 1.5 seconds.
## ℹ Fitting segment with index 68## Running MCMC with 8 parallel chains...
##
@@ -8282,7 +8287,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8307,9 +8311,9 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
@@ -8322,297 +8326,298 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 2.9 seconds.
-## Chain 2 finished in 3.0 seconds.
+## Chain 2 finished in 2.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 3.0 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 3.0 seconds.
+## Chain 1 finished in 3.1 seconds.
+## Chain 3 finished in 3.1 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 3.0 seconds.
+## Chain 7 finished in 3.0 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 3.0 seconds.
-## Chain 7 finished in 2.9 seconds.
## Chain 8 finished in 3.0 seconds.
##
## All 8 chains finished successfully.
@@ -8635,8 +8640,6 @@ Running the fit function## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8644,7 +8647,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -8655,314 +8657,317 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 finished in 2.5 seconds.
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 2.6 seconds.
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 2.8 seconds.
-## Chain 3 finished in 2.8 seconds.
-## Chain 6 finished in 2.7 seconds.
+## Chain 3 finished in 2.7 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 2.8 seconds.
+## Chain 1 finished in 2.8 seconds.
+## Chain 4 finished in 2.7 seconds.
## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.7 seconds.
## Chain 7 finished in 2.7 seconds.
## Chain 8 finished in 2.7 seconds.
##
@@ -8992,6 +8997,7 @@ Running the fit function## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9001,7 +9007,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9010,6 +9015,7 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9017,6 +9023,7 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9039,8 +9046,6 @@ Running the fit function## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9049,8 +9054,6 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -9058,25 +9061,27 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -9084,20 +9089,18 @@ Running the fit function## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -9105,215 +9108,217 @@ Running the fit function## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.4 seconds.
-## Chain 3 finished in 1.4 seconds.
-## Chain 6 finished in 1.3 seconds.
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 1.3 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.4 seconds.
+## Chain 3 finished in 1.4 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 5 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
+## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 1.5 seconds.
-## Chain 5 finished in 1.4 seconds.
-## Chain 7 finished in 1.4 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.4 seconds.
##
@@ -9329,13 +9334,13 @@ Running the fit function## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9349,12 +9354,12 @@ Running the fit function## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9369,153 +9374,145 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -9523,154 +9520,162 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
-## Chain 4 finished in 1.8 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
+## Chain 3 finished in 1.9 seconds.
+## Chain 5 finished in 1.9 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.0 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
+## Chain 4 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 1.9 seconds.
## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.0 seconds.
## ℹ Fitting segment with index 77## Running MCMC with 8 parallel chains...
##
@@ -9685,7 +9690,6 @@ Running the fit function## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9723,7 +9727,6 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9734,6 +9737,7 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9744,7 +9748,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9754,6 +9757,7 @@ Running the fit function## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -9762,7 +9766,7 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9773,6 +9777,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -9793,6 +9799,8 @@ Running the fit function## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -9800,10 +9808,6 @@ Running the fit function## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9811,6 +9815,8 @@ Running the fit function## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -9818,210 +9824,209 @@ Running the fit function## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 finished in 1.0 seconds.
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.1 seconds.
-## Chain 4 finished in 1.0 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.0 seconds.
+## Chain 3 finished in 1.0 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 finished in 1.1 seconds.
+## Chain 4 finished in 1.1 seconds.
+## Chain 5 finished in 1.0 seconds.
+## Chain 6 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
-## Chain 5 finished in 1.1 seconds.
-## Chain 6 finished in 1.0 seconds.
-## Chain 7 finished in 1.1 seconds.
-## Chain 8 finished in 1.0 seconds.
+## Chain 8 finished in 1.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
## ℹ Fitting segment with index 79## Running MCMC with 8 parallel chains...
##
@@ -10031,348 +10036,348 @@ Running the fit function## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 4.3 seconds.
-## Chain 3 finished in 4.3 seconds.
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 4.4 seconds.
+## Chain 3 finished in 4.5 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 finished in 4.5 seconds.
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 finished in 4.6 seconds.
+## Chain 4 finished in 4.6 seconds.
## Chain 5 finished in 4.5 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.6 seconds.
-## Chain 8 finished in 4.5 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 4.7 seconds.
-## Chain 7 finished in 4.6 seconds.
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.5 seconds.
-## Total execution time: 4.8 seconds.
## ℹ Fitting segment with index 87## Running MCMC with 8 parallel chains...
##
@@ -11414,13 +11419,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
+## Chain 3 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -11772,11 +11777,11 @@ Running the fit function## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
-## Chain 8 finished in 0.2 seconds.
+## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 100## Running MCMC with 8 parallel chains...
##
@@ -12073,7 +12078,6 @@ Running the fit function## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -12115,14 +12119,15 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 finished in 0.2 seconds.
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.3 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 finished in 0.2 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.2 seconds.
##
## All 8 chains finished successfully.
@@ -12829,7 +12834,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 106## Running MCMC with 8 parallel chains...
##
@@ -13872,9 +13877,9 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -14578,7 +14583,7 @@ Running the fit function## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
@@ -14926,7 +14931,7 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
@@ -14935,13 +14940,14 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 126## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -14957,347 +14963,344 @@ Running the fit function## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 4.5 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 4.8 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 finished in 4.7 seconds.
+## Chain 8 finished in 4.7 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 4.9 seconds.
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 finished in 4.9 seconds.
+## Chain 4 finished in 4.8 seconds.
## Chain 5 finished in 4.8 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.9 seconds.
-## Chain 7 finished in 4.9 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 5.0 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.1 seconds.
+## Chain 6 finished in 5.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.9 seconds.
-## Total execution time: 5.3 seconds.
## ℹ Fitting segment with index 128## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -15315,11 +15318,11 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
@@ -15330,74 +15333,75 @@ Running the fit function## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -15405,239 +15409,240 @@ Running the fit function## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 finished in 3.6 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 finished in 3.7 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 finished in 3.8 seconds.
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 3.8 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 finished in 3.9 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.9 seconds.
+## Chain 7 finished in 3.8 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 finished in 4.0 seconds.
+## Chain 6 finished in 3.9 seconds.
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 4.0 seconds.
-## Chain 6 finished in 4.0 seconds.
-## Chain 7 finished in 3.9 seconds.
## Chain 8 finished in 4.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 3.9 seconds.
-## Total execution time: 4.1 seconds.
## ℹ Fitting segment with index 129## Running MCMC with 8 parallel chains...
##
@@ -16009,6 +16014,8 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -16037,16 +16044,14 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
@@ -16054,287 +16059,287 @@ Running the fit function## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 2.1 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 2.1 seconds.
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 2.2 seconds.
-## Chain 4 finished in 2.2 seconds.
+## Chain 1 finished in 2.2 seconds.
+## Chain 2 finished in 2.2 seconds.
+## Chain 4 finished in 2.1 seconds.
## Chain 5 finished in 2.1 seconds.
-## Chain 6 finished in 2.1 seconds.
## Chain 7 finished in 2.1 seconds.
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.3 seconds.
+## Chain 6 finished in 2.2 seconds.
## Chain 8 finished in 2.2 seconds.
##
## All 8 chains finished successfully.
@@ -17033,7 +17038,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -17041,7 +17046,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 134## Running MCMC with 8 parallel chains...
##
@@ -17067,17 +17072,8 @@ Running the fit function## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17104,8 +17100,6 @@ Running the fit function## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17133,10 +17127,6 @@ Running the fit function## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17162,6 +17152,7 @@ Running the fit function## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17184,10 +17175,6 @@ Running the fit function## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17211,7 +17198,6 @@ Running the fit function## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17230,10 +17216,6 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17256,6 +17238,15 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -17265,7 +17256,8 @@ Running the fit function## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.4 seconds.
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
@@ -17280,6 +17272,10 @@ Running the fit function## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
@@ -17291,7 +17287,6 @@ Running the fit function## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17307,7 +17302,10 @@ Running the fit function## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
@@ -17318,12 +17316,7 @@ Running the fit function## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
@@ -17337,9 +17330,10 @@ Running the fit function## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17352,12 +17346,6 @@ Running the fit function## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
@@ -17370,29 +17358,46 @@ Running the fit function## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 0.5 seconds.
## Chain 2 finished in 0.5 seconds.
## Chain 3 finished in 0.5 seconds.
-## Chain 4 finished in 0.6 seconds.
-## Chain 5 finished in 0.5 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.5 seconds.
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.6 seconds.
## Chain 6 finished in 0.5 seconds.
## Chain 7 finished in 0.5 seconds.
## Chain 8 finished in 0.5 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.5 seconds.
-## Total execution time: 0.8 seconds.
## ℹ Fitting segment with index 135## Running MCMC with 8 parallel chains...
##
@@ -17406,6 +17411,8 @@ Running the fit function## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17416,7 +17423,6 @@ Running the fit function## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17426,9 +17432,6 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17437,8 +17440,6 @@ Running the fit function## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17455,6 +17456,7 @@ Running the fit function## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17462,7 +17464,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -17470,8 +17471,7 @@ Running the fit function## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -17479,6 +17479,10 @@ Running the fit function## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -17486,18 +17490,18 @@ Running the fit function## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -17510,236 +17514,237 @@ Running the fit function## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 finished in 1.2 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.4 seconds.
-## Chain 2 finished in 1.3 seconds.
-## Chain 4 finished in 1.3 seconds.
-## Chain 5 finished in 1.3 seconds.
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 1.4 seconds.
-## Chain 7 finished in 1.3 seconds.
+## Chain 3 finished in 1.3 seconds.
+## Chain 4 finished in 1.4 seconds.
+## Chain 6 finished in 1.3 seconds.
## Chain 8 finished in 1.3 seconds.
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.4 seconds.
+## Chain 7 finished in 1.4 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.3 seconds.
@@ -17749,7 +17754,6 @@ Running the fit function##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -17764,337 +17768,338 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 finished in 6.5 seconds.
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 6.6 seconds.
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 6.6 seconds.
+## Chain 4 finished in 6.7 seconds.
+## Chain 5 finished in 6.7 seconds.
## Chain 6 finished in 6.6 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 6.8 seconds.
## Chain 8 finished in 6.7 seconds.
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 finished in 6.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 finished in 7.0 seconds.
-## Chain 3 finished in 7.0 seconds.
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 finished in 7.0 seconds.
+## Chain 7 finished in 6.8 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 7.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 6.8 seconds.
-## Total execution time: 7.2 seconds.
## ℹ Fitting segment with index 149## Running MCMC with 8 parallel chains...
##
@@ -18106,9 +18111,6 @@ Running the fit function## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18127,6 +18129,8 @@ Running the fit function## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18142,7 +18146,6 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18151,32 +18154,26 @@ Running the fit function## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
@@ -18184,217 +18181,214 @@ Running the fit function## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
@@ -18402,50 +18396,61 @@ Running the fit function## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 1.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.6 seconds.
-## Chain 4 finished in 1.5 seconds.
-## Chain 6 finished in 1.4 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 finished in 1.6 seconds.
-## Chain 5 finished in 1.6 seconds.
+## Chain 2 finished in 1.6 seconds.
+## Chain 3 finished in 1.5 seconds.
+## Chain 4 finished in 1.5 seconds.
+## Chain 6 finished in 1.5 seconds.
## Chain 7 finished in 1.5 seconds.
## Chain 8 finished in 1.5 seconds.
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 1.6 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.5 seconds.
-## Total execution time: 1.7 seconds.
## ℹ Fitting segment with index 150## Running MCMC with 8 parallel chains...
##
@@ -18458,10 +18463,13 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -18473,153 +18481,151 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -18630,7 +18636,7 @@ Running the fit function## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -18638,175 +18644,178 @@ Running the fit function## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 finished in 4.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 finished in 4.6 seconds.
+## Chain 6 finished in 4.7 seconds.
+## Chain 7 finished in 4.6 seconds.
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 4.8 seconds.
## Chain 2 finished in 4.8 seconds.
-## Chain 3 finished in 4.8 seconds.
-## Chain 7 finished in 4.7 seconds.
-## Chain 8 finished in 4.7 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 finished in 4.9 seconds.
-## Chain 5 finished in 4.9 seconds.
+## Chain 5 finished in 4.8 seconds.
+## Chain 8 finished in 4.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 4.8 seconds.
+## Mean chain execution time: 4.7 seconds.
## Total execution time: 5.0 seconds.
## ℹ Fitting segment with index 154## Running MCMC with 8 parallel chains...
##
## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
+## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
@@ -18817,337 +18826,333 @@ Running the fit function## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 4.8 seconds.
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 finished in 5.2 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 finished in 5.4 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 finished in 5.3 seconds.
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 finished in 5.4 seconds.
+## Chain 7 finished in 5.4 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 finished in 5.4 seconds.
+## Chain 4 finished in 5.6 seconds.
## Chain 8 finished in 5.4 seconds.
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 5.6 seconds.
-## Chain 4 finished in 5.7 seconds.
-## Chain 7 finished in 5.5 seconds.
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 5.6 seconds.
+## Chain 2 finished in 5.7 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 5.5 seconds.
-## Total execution time: 5.8 seconds.
## ℹ Fitting segment with index 155## Running MCMC with 8 parallel chains...
##
@@ -19488,17 +19493,17 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.2 seconds.
+## Chain 2 finished in 0.1 seconds.
## Chain 3 finished in 0.2 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.2 seconds.
+## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.1 seconds.
-## Total execution time: 0.3 seconds.
## ℹ Fitting segment with index 165## Running MCMC with 8 parallel chains...
##
@@ -19517,6 +19522,29 @@ Running the fit function## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19534,6 +19562,25 @@ Running the fit function## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19552,6 +19599,28 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19567,6 +19636,31 @@ Running the fit function## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19581,6 +19675,26 @@ Running the fit function## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19595,6 +19709,9 @@ Running the fit function## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19609,6 +19726,11 @@ Running the fit function## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -19620,142 +19742,67 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 finished in 0.6 seconds.
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 0.7 seconds.
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 0.7 seconds.
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 0.7 seconds.
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -19763,64 +19810,21 @@ Running the fit function## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 finished in 0.7 seconds.
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 finished in 0.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
-## Chain 5 finished in 0.7 seconds.
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -19841,15 +19845,16 @@ Running the fit function## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 finished in 0.9 seconds.
-## Chain 6 finished in 0.8 seconds.
-## Chain 7 finished in 0.8 seconds.
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 finished in 0.8 seconds.
+## Chain 7 finished in 0.6 seconds.
+## Chain 8 finished in 0.5 seconds.
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.6 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.0 seconds.
## ℹ Fitting segment with index 168## Running MCMC with 8 parallel chains...
##
@@ -20192,7 +20197,7 @@ Running the fit function## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.2 seconds.
## Chain 3 finished in 0.2 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.2 seconds.
@@ -20200,7 +20205,7 @@ Running the fit function##
## All 8 chains finished successfully.
## Mean chain execution time: 0.2 seconds.
-## Total execution time: 0.4 seconds.
## ℹ Fitting segment with index 170## Running MCMC with 8 parallel chains...
##
@@ -20220,7 +20225,6 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20235,6 +20239,7 @@ Running the fit function## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20246,36 +20251,32 @@ Running the fit function## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
@@ -20283,88 +20284,89 @@ Running the fit function## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -20372,20 +20374,20 @@ Running the fit function## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
@@ -20396,16 +20398,15 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
@@ -20414,143 +20415,147 @@ Running the fit function## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 1.8 seconds.
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 finished in 1.9 seconds.
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 1.9 seconds.
## Chain 4 finished in 1.8 seconds.
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 finished in 1.8 seconds.
+## Chain 7 finished in 1.8 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 1.9 seconds.
-## Chain 5 finished in 1.9 seconds.
## Chain 6 finished in 1.9 seconds.
-## Chain 7 finished in 1.8 seconds.
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 1.8 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.8 seconds.
+## Mean chain execution time: 1.9 seconds.
## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 173## Running MCMC with 8 parallel chains...
@@ -20568,6 +20573,7 @@ Running the fit function## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20581,7 +20587,6 @@ Running the fit function## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20593,9 +20598,6 @@ Running the fit function## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20617,8 +20619,6 @@ Running the fit function## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20629,7 +20629,6 @@ Running the fit function## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20637,10 +20636,6 @@ Running the fit function## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20649,9 +20644,6 @@ Running the fit function## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20662,7 +20654,7 @@ Running the fit function## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -20674,20 +20666,15 @@ Running the fit function## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -20696,53 +20683,57 @@ Running the fit function## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -20753,156 +20744,170 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 finished in 1.1 seconds.
## Chain 2 finished in 1.0 seconds.
-## Chain 3 finished in 1.0 seconds.
## Chain 4 finished in 0.9 seconds.
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 1.1 seconds.
+## Chain 3 finished in 1.1 seconds.
+## Chain 7 finished in 1.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 1.1 seconds.
## Chain 6 finished in 1.1 seconds.
-## Chain 7 finished in 1.0 seconds.
## Chain 8 finished in 1.0 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.0 seconds.
-## Total execution time: 1.2 seconds.
## ℹ Fitting segment with index 175## Running MCMC with 8 parallel chains...
##
@@ -20910,6 +20915,7 @@ Running the fit function## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20917,12 +20923,15 @@ Running the fit function## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -20931,321 +20940,317 @@ Running the fit function## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
-## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 finished in 3.1 seconds.
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 finished in 3.4 seconds.
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 finished in 3.5 seconds.
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 3.6 seconds.
-## Chain 4 finished in 3.5 seconds.
-## Chain 6 finished in 3.5 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 finished in 3.6 seconds.
## Chain 3 finished in 3.6 seconds.
-## Chain 5 finished in 3.5 seconds.
+## Chain 4 finished in 3.6 seconds.
+## Chain 6 finished in 3.6 seconds.
## Chain 8 finished in 3.5 seconds.
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
@@ -21593,13 +21598,13 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
## Chain 2 finished in 0.2 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.1 seconds.
+## Chain 5 finished in 0.2 seconds.
## Chain 6 finished in 0.2 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.2 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
@@ -21672,7 +21677,6 @@ Running the fit function## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -21681,14 +21685,12 @@ Running the fit function## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
@@ -21699,7 +21701,6 @@ Running the fit function## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
@@ -21710,9 +21711,6 @@ Running the fit function## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
@@ -21728,48 +21726,55 @@ Running the fit function## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -21779,29 +21784,28 @@ Running the fit function## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
@@ -21812,28 +21816,27 @@ Running the fit function## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
@@ -21841,54 +21844,53 @@ Running the fit function## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
@@ -21900,21 +21902,23 @@ Running the fit function## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 1.2 seconds.
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
@@ -21924,32 +21928,33 @@ Running the fit function## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 finished in 1.2 seconds.
## Chain 3 finished in 1.2 seconds.
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 finished in 1.3 seconds.
## Chain 5 finished in 1.2 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 1.2 seconds.
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 finished in 1.3 seconds.
+## Chain 2 finished in 1.3 seconds.
## Chain 7 finished in 1.2 seconds.
## Chain 8 finished in 1.2 seconds.
##
@@ -22297,9 +22302,9 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.2 seconds.
+## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.2 seconds.
-## Chain 5 finished in 0.2 seconds.
+## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
@@ -22317,7 +22322,6 @@ Running the fit function## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22325,15 +22329,12 @@ Running the fit function## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22345,7 +22346,6 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -22360,18 +22360,18 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
@@ -22381,282 +22381,287 @@ Running the fit function## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 2 finished in 1.8 seconds.
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 finished in 1.9 seconds.
-## Chain 4 finished in 1.9 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
## Chain 3 finished in 2.0 seconds.
+## Chain 4 finished in 2.0 seconds.
+## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 finished in 2.0 seconds.
## Chain 7 finished in 1.9 seconds.
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
+## Chain 6 finished in 2.1 seconds.
+## Chain 8 finished in 2.0 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 1.9 seconds.
+## Mean chain execution time: 2.0 seconds.
## Total execution time: 2.2 seconds.
## ℹ Fitting segment with index 181## Running MCMC with 8 parallel chains...
@@ -22999,8 +23004,8 @@ Running the fit function## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.1 seconds.
## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
## Chain 7 finished in 0.1 seconds.
@@ -23022,6 +23027,7 @@ Running the fit function## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23034,7 +23040,6 @@ Running the fit function## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23042,7 +23047,6 @@ Running the fit function## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23050,312 +23054,313 @@ Running the fit function## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 finished in 2.7 seconds.
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 2.7 seconds.
## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 finished in 2.8 seconds.
-## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 finished in 2.8 seconds.
-## Chain 4 finished in 2.8 seconds.
-## Chain 5 finished in 2.7 seconds.
+## Chain 4 finished in 2.9 seconds.
+## Chain 5 finished in 2.8 seconds.
+## Chain 6 finished in 2.8 seconds.
## Chain 7 finished in 2.8 seconds.
-## Chain 8 finished in 2.8 seconds.
-## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 6 finished in 2.9 seconds.
+## Chain 8 finished in 2.7 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 2.8 seconds.
@@ -23379,8 +23384,6 @@ Running the fit function## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23416,7 +23419,6 @@ Running the fit function## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23460,8 +23462,6 @@ Running the fit function## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23475,7 +23475,6 @@ Running the fit function## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23487,6 +23486,8 @@ Running the fit function## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
@@ -23499,7 +23500,6 @@ Running the fit function## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
@@ -23510,6 +23510,9 @@ Running the fit function## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
@@ -23520,6 +23523,7 @@ Running the fit function## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
@@ -23530,10 +23534,6 @@ Running the fit function## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23544,6 +23544,9 @@ Running the fit function## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
@@ -23551,7 +23554,7 @@ Running the fit function## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
@@ -23560,6 +23563,7 @@ Running the fit function## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
@@ -23567,120 +23571,123 @@ Running the fit function## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 finished in 0.8 seconds.
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 0.8 seconds.
-## Chain 4 finished in 0.7 seconds.
-## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
@@ -23688,10 +23695,6 @@ Running the fit function## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
@@ -23700,17 +23703,19 @@ Running the fit function## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 2 finished in 0.9 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 2 finished in 0.8 seconds.
+## Chain 4 finished in 0.8 seconds.
## Chain 5 finished in 0.8 seconds.
-## Chain 6 finished in 0.8 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 finished in 0.9 seconds.
## Chain 7 finished in 0.8 seconds.
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 0.8 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 0.8 seconds.
-## Total execution time: 1.1 seconds.
## ℹ Fitting segment with index 189## Running MCMC with 8 parallel chains...
##
@@ -23727,7 +23732,6 @@ Running the fit function## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23735,6 +23739,7 @@ Running the fit function## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23746,10 +23751,12 @@ Running the fit function## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
+## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -23759,309 +23766,307 @@ Running the fit function## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
+## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
-## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
-## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 finished in 1.9 seconds.
+## Chain 8 finished in 1.8 seconds.
## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 2 finished in 1.9 seconds.
-## Chain 3 finished in 1.9 seconds.
-## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 1 finished in 2.0 seconds.
+## Chain 2 finished in 2.0 seconds.
+## Chain 4 finished in 1.9 seconds.
+## Chain 5 finished in 2.0 seconds.
+## Chain 6 finished in 1.9 seconds.
## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 2.0 seconds.
-## Chain 4 finished in 2.0 seconds.
-## Chain 5 finished in 2.0 seconds.
-## Chain 6 finished in 1.9 seconds.
## Chain 7 finished in 2.0 seconds.
-## Chain 8 finished in 1.9 seconds.
##
## All 8 chains finished successfully.
## Mean chain execution time: 1.9 seconds.
-## Total execution time: 2.1 seconds.
## ℹ Fitting segment with index 190## Running MCMC with 8 parallel chains...
##
@@ -24402,12 +24407,12 @@ Running the fit function## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 0.0 seconds.
-## Chain 2 finished in 0.1 seconds.
+## Chain 2 finished in 0.0 seconds.
## Chain 3 finished in 0.1 seconds.
## Chain 4 finished in 0.1 seconds.
## Chain 5 finished in 0.1 seconds.
## Chain 6 finished in 0.1 seconds.
-## Chain 7 finished in 0.1 seconds.
+## Chain 7 finished in 0.0 seconds.
## Chain 8 finished in 0.0 seconds.
##
## All 8 chains finished successfully.
@@ -24782,7 +24787,6 @@ Running the fit function## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup)
## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup)
@@ -24802,16 +24806,15 @@ Running the fit function## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup)
## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup)
## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup)
-## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup)
## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup)
@@ -24822,294 +24825,296 @@ Running the fit function## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup)
## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup)
-## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup)
## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup)
-## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
+## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup)
## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
-## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup)
+## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup)
## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup)
-## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
+## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup)
## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
-## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
+## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup)
+## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup)
## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup)
+## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup)
## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
-## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup)
-## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup)
## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
-## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup)
+## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup)
+## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup)
## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup)
-## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup)
## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
-## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup)
+## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup)
+## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup)
## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup)
-## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup)
## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
-## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup)
+## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup)
## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup)
-## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
+## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup)
## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup)
## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
+## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup)
+## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup)
## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup)
-## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
+## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling)
## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling)
-## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup)
## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup)
-## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
-## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
-## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling)
## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
-## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
+## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling)
+## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup)
+## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling)
## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling)
+## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling)
-## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
+## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling)
-## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
+## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling)
## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling)
## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling)
-## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
+## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling)
## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling)
## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling)
-## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling)
+## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling)
-## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
+## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling)
-## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling)
## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling)
## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling)
+## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling)
## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling)
-## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
+## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling)
-## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling)
-## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
+## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling)
## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
+## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling)
## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling)
## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling)
## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling)
-## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling)
+## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling)
## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling)
+## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling)
+## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling)
+## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling)
-## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
+## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling)
## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling)
-## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling)
-## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
-## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 2 finished in 2.6 seconds.
+## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 3 finished in 2.6 seconds.
+## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 6 finished in 2.5 seconds.
+## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling)
+## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling)
+## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling)
## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling)
## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
-## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
-## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 1 finished in 2.7 seconds.
## Chain 4 finished in 2.6 seconds.
## Chain 5 finished in 2.6 seconds.
-## Chain 7 finished in 2.5 seconds.
+## Chain 7 finished in 2.6 seconds.
+## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
+## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
## Chain 8 finished in 2.6 seconds.
##
## All 8 chains finished successfully.
@@ -25454,17 +25459,17 @@ Running the fit function## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling)
## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling)
## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling)
-## Chain 1 finished in 0.1 seconds.
-## Chain 2 finished in 0.1 seconds.
-## Chain 3 finished in 0.1 seconds.
-## Chain 4 finished in 0.1 seconds.
+## Chain 1 finished in 0.2 seconds.
+## Chain 2 finished in 0.2 seconds.
+## Chain 3 finished in 0.2 seconds.
+## Chain 4 finished in 0.2 seconds.
## Chain 5 finished in 0.2 seconds.
-## Chain 6 finished in 0.1 seconds.
+## Chain 6 finished in 0.2 seconds.
## Chain 7 finished in 0.1 seconds.
## Chain 8 finished in 0.1 seconds.
##
## All 8 chains finished successfully.
-## Mean chain execution time: 0.1 seconds.
+## Mean chain execution time: 0.2 seconds.
## Total execution time: 0.4 seconds.
diff --git a/articles/a3_Understanding_single_segment_timing.html b/articles/a3_Understanding_single_segment_timing.html
index 59d2e27..c79c246 100644
--- a/articles/a3_Understanding_single_segment_timing.html
+++ b/articles/a3_Understanding_single_segment_timing.html
@@ -6,6 +6,12 @@
3. Understanding Timing Clonal Peaks • tickTack
+
+
+
+
+
+
@@ -56,8 +62,7 @@
-
- Articles • tickTack
+Articles • tickTack
Skip to contents
@@ -32,8 +32,7 @@
3. Understanding Timing Clonal Peaks
+3. Understanding Timing Clonal Peaks
diff --git a/articles/index.html b/articles/index.html index 7d40302..e83d915 100644 --- a/articles/index.html +++ b/articles/index.html @@ -1,5 +1,5 @@ -
-
-
Articles
+Articles
diff --git a/articles/tickTack.html b/articles/tickTack.html
index 024aa62..6a3e0f8 100644
--- a/articles/tickTack.html
+++ b/articles/tickTack.html
@@ -6,6 +6,12 @@
tickTack • tickTack
+
+
+
+
+
+
@@ -56,8 +62,7 @@
-
- Authors and Citation • tickTack
+Authors and Citation • tickTack
Skip to contents
@@ -32,8 +32,7 @@
tickTack
+tickTack
diff --git a/authors.html b/authors.html index f6aaa63..ac6a2d1 100644 --- a/authors.html +++ b/authors.html @@ -1,5 +1,5 @@ -
-
-
Authors and Citation
+Authors and Citation
diff --git a/favicon-96x96.png b/favicon-96x96.png
new file mode 100644
index 0000000..c8d47c1
Binary files /dev/null and b/favicon-96x96.png differ
diff --git a/favicon.ico b/favicon.ico
new file mode 100644
index 0000000..3c281e1
Binary files /dev/null and b/favicon.ico differ
diff --git a/favicon.svg b/favicon.svg
new file mode 100644
index 0000000..214e207
--- /dev/null
+++ b/favicon.svg
@@ -0,0 +1,3 @@
+
\ No newline at end of file
diff --git a/index.html b/index.html
index b042791..0fcf4a0 100644
--- a/index.html
+++ b/index.html
@@ -6,6 +6,12 @@
Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes • tickTack
+
+
+
+
+
+
@@ -13,6 +19,7 @@
+
Skip to contents
diff --git a/logo.png b/logo.png
new file mode 100644
index 0000000..9f1da05
Binary files /dev/null and b/logo.png differ
diff --git a/pkgdown.yml b/pkgdown.yml
index 3f499eb..edba268 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -6,7 +6,7 @@ articles:
a2_Single_segment_timing: a2_Single_segment_timing.html
a3_Understanding_single_segment_timing: a3_Understanding_single_segment_timing.html
tickTack: tickTack.html
-last_built: 2024-12-09T11:32Z
+last_built: 2024-12-09T13:33Z
urls:
reference: https://caravagnalab.github.io/tickTack/reference
article: https://caravagnalab.github.io/tickTack/articles
diff --git a/reference/CNA.html b/reference/CNA.html
index ab3470d..0ce0abe 100644
--- a/reference/CNA.html
+++ b/reference/CNA.html
@@ -1,5 +1,5 @@
-Extract CNAs. — CNA • tickTack
+Extract CNAs. — CNA • tickTack
Skip to contents
@@ -32,8 +32,7 @@
Extract mutations. — Mutations • tickTack
+Extract mutations. — Mutations • tickTack
Skip to contents
@@ -32,8 +32,7 @@
GRCh38 coordinates — chr_coordinates_GRCh38 • tickTack
+GRCh38 coordinates — chr_coordinates_GRCh38 • tickTack
Skip to contents
@@ -32,8 +32,7 @@
hg19 coordinates — chr_coordinates_hg19 • tickTack
+hg19 coordinates — chr_coordinates_hg19 • tickTack
Skip to contents
@@ -32,8 +32,7 @@
Fit timing of clonal peaks in cancer genome sequencing data — fit • tickTack
+Fit timing of clonal peaks in cancer genome sequencing data — fit • tickTack
Skip to contents
@@ -32,8 +32,7 @@
Get the fit to obtain the clocks posteriors — fit_h • tickTack
+Get the fit to obtain the clocks posteriors — fit_h • tickTack
Skip to contents
@@ -32,8 +32,7 @@
fit_variational Function — fit_variational_h • tickTack
+fit_variational Function — fit_variational_h • tickTack
Skip to contents
@@ -32,8 +32,7 @@
get_clonal_peaks Function — get_clonal_peaks • tickTack
+get_clonal_peaks Function — get_clonal_peaks • tickTack
Skip to contents
@@ -32,8 +32,7 @@
get_initialization — get_initialization • tickTack
+get_initialization — get_initialization • tickTack
Skip to contents
@@ -32,8 +32,7 @@
Package index • tickTack
+Package index • tickTack
Skip to contents
@@ -32,8 +32,7 @@
-
-
diff --git a/reference/Mutations.html b/reference/Mutations.html
index 5afb039..73902bd 100644
--- a/reference/Mutations.html
+++ b/reference/Mutations.html
@@ -1,5 +1,5 @@
-Extract CNAs.
+Extract CNAs.
CNA.Rd
-
-
diff --git a/reference/chr_coordinates_GRCh38.html b/reference/chr_coordinates_GRCh38.html
index 6a4130d..7f484d9 100644
--- a/reference/chr_coordinates_GRCh38.html
+++ b/reference/chr_coordinates_GRCh38.html
@@ -1,5 +1,5 @@
-Extract mutations.
+Extract mutations.
Mutations.Rd
-
-
diff --git a/reference/chr_coordinates_hg19.html b/reference/chr_coordinates_hg19.html
index f991d51..154c26f 100644
--- a/reference/chr_coordinates_hg19.html
+++ b/reference/chr_coordinates_hg19.html
@@ -1,5 +1,5 @@
-GRCh38 coordinates
+GRCh38 coordinates
chr_coordinates_GRCh38.Rd
-
-
diff --git a/reference/figures/logo.png b/reference/figures/logo.png
new file mode 100644
index 0000000..9f1da05
Binary files /dev/null and b/reference/figures/logo.png differ
diff --git a/reference/fit.html b/reference/fit.html
index 5a014cd..6851797 100644
--- a/reference/fit.html
+++ b/reference/fit.html
@@ -1,5 +1,5 @@
-hg19 coordinates
+hg19 coordinates
chr_coordinates_hg19.Rd
-
-
diff --git a/reference/fit_h.html b/reference/fit_h.html
index 0153366..5e90c53 100644
--- a/reference/fit_h.html
+++ b/reference/fit_h.html
@@ -1,5 +1,5 @@
-Fit timing of clonal peaks in cancer genome sequencing data
+Fit timing of clonal peaks in cancer genome sequencing data
fit.Rd
-
-
diff --git a/reference/fit_variational_h.html b/reference/fit_variational_h.html
index c54e041..cd3c56b 100644
--- a/reference/fit_variational_h.html
+++ b/reference/fit_variational_h.html
@@ -1,5 +1,5 @@
-Get the fit to obtain the clocks posteriors
+Get the fit to obtain the clocks posteriors
fit_h.Rd
-
-
diff --git a/reference/get_clonal_peaks.html b/reference/get_clonal_peaks.html
index a096f46..2707458 100644
--- a/reference/get_clonal_peaks.html
+++ b/reference/get_clonal_peaks.html
@@ -1,5 +1,5 @@
-fit_variational Function
+fit_variational Function
fit_variational_h.Rd
-
-
diff --git a/reference/get_initialization.html b/reference/get_initialization.html
index cfeca1c..39a09c5 100644
--- a/reference/get_initialization.html
+++ b/reference/get_initialization.html
@@ -1,5 +1,5 @@
-get_clonal_peaks Function
+get_clonal_peaks Function
get_clonal_peaks.Rd
-
-
diff --git a/reference/index.html b/reference/index.html
index 809b875..446fd18 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,5 +1,5 @@
-get_initialization
+get_initialization
get_initialization.Rd
-
-
Package index
+Package index
diff --git a/reference/karyo_to_int.html b/reference/karyo_to_int.html
index 91b0290..208d431 100644
--- a/reference/karyo_to_int.html
+++ b/reference/karyo_to_int.html
@@ -1,5 +1,5 @@
-karyo_to_int Function — karyo_to_int • tickTack
+karyo_to_int Function — karyo_to_int • tickTack
Skip to contents
@@ -32,8 +32,7 @@
model_selection Function — model_selection_h • tickTack
+model_selection Function — model_selection_h • tickTack
Skip to contents
@@ -32,8 +32,7 @@
pcawg_example — pcawg_example • tickTack
+pcawg_example — pcawg_example • tickTack
Skip to contents
@@ -32,8 +32,7 @@
pcawg_example_2 — pcawg_example_2 • tickTack
+pcawg_example_2 — pcawg_example_2 • tickTack
Skip to contents
@@ -32,8 +32,7 @@
plot_inference_h Function — plot_inference_h • tickTack
+plot_inference_h Function — plot_inference_h • tickTack
Skip to contents
@@ -32,8 +32,7 @@
Plot timing of clonal peaks in cancer genome sequencing data — plot_timing • tickTack
+Plot timing of clonal peaks in cancer genome sequencing data — plot_timing • tickTack
Skip to contents
@@ -32,8 +32,7 @@
prepare_input_data Function — prepare_input_data • tickTack
+prepare_input_data Function — prepare_input_data • tickTack
Skip to contents
@@ -32,8 +32,7 @@
tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package • tickTack
+tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package • tickTack
Skip to contents
@@ -32,14 +34,14 @@
#> 1 chr1 1015594 1015594 C C 99 16 0.162 00db1b95-8ca3-4cc4-bb46-6… #> 2 chr1 1866371 1866371 C C 250 67 0.268 00db1b95-8ca3-4cc4-bb46-6… #> 3 chr1 1921712 1921712 C C 62 20 0.323 00db1b95-8ca3-4cc4-bb46-6… #> 4 chr1 2049858 2049858 G G 118 15 0.127 00db1b95-8ca3-4cc4-bb46-6… #> 5 chr1 2357842 2357842 C C 84 12 0.143 00db1b95-8ca3-4cc4-bb46-6… #> 6 chr1 2771915 2771915 G G 90 27 0.3 00db1b95-8ca3-4cc4-bb46-6…"},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"copy-number-alterations-cna","dir":"Articles","previous_headings":"Input Data Structure","what":"2. Copy Number Alterations (CNA)","title":"1. Introduction","text":"cna component tibble describes regions genome alterations copy number. row represents genomic segment, following columns: chr: Chromosome segment. : Start end positions segment. Major minor: Major minor allele copy numbers. CCF Cancer cell fraction segment. total_cn: Total copy number (sum Major minor). preview cna data:","code":"tickTack::pcawg_example$cna %>% head() #> # A tibble: 6 × 7 #> chr from to Major minor CCF total_cn #> #> 1 chr1 10001 790008 2 2 1 4 #> 2 chr1 790009 13212499 2 2 1 4 #> 3 chr1 13212500 33458785 2 2 1 4 #> 4 chr1 33458786 33564126 2 2 0.194 4 #> 5 chr1 33564127 56834601 2 2 1 4 #> 6 chr1 56834602 121499999 2 2 1 4"},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"metadata","dir":"Articles","previous_headings":"Input Data Structure","what":"3. Metadata","title":"1. Introduction","text":"metadata component tibble containing sample-level information, following columns: sample: Unique identifier sample. purity: Tumor purity, representing proportion cancer cells sample. ploidy: Average ploidy sample. purity_conf_mad: Confidence interval purity estimate. wgd_status: Whole genome doubling status (e.g., wgd wgd). wgd_uncertain: Logical indicating uncertainty wgd_status. example metadata shown :","code":"tickTack::pcawg_example$metadata #> # A tibble: 1 × 6 #> sample purity ploidy purity_conf_mad wgd_status wgd_uncertain #> #> 1 00db1b95-8ca3-4cc4-bb4… 0.406 4.08 0.009 wgd FALSE"},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"types-of-copy-number-alterations-cnas","dir":"Articles","previous_headings":"","what":"Types of Copy Number Alterations (CNAs)","title":"1. Introduction","text":"cna component can include different types copy number segments, categorized follows:","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"clonal-simple-cnas","dir":"Articles","previous_headings":"Types of Copy Number Alterations (CNAs)","what":"Clonal Simple CNAs","title":"1. Introduction","text":"straightforward alterations specific copy number configurations: 1:0: Loss heterozygosity (LOH). 2:0: Copy neutral LOH. 1:1: Diploid heterozygous (assumed normal reference). 2:1: Trisomy. 2:2: Tetraploidy.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"clonal-complex-and-subclonal-cnas","dir":"Articles","previous_headings":"Types of Copy Number Alterations (CNAs)","what":"Clonal Complex and Subclonal CNAs","title":"1. Introduction","text":"Clonal complex CNAs include clonal CNA considered simple. hand, subclonal CNAs involve mixture two subclones, subclone defined simple CNA.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"timing-eligibility","dir":"Articles","previous_headings":"Types of Copy Number Alterations (CNAs)","what":"Timing Eligibility","title":"1. Introduction","text":"clonal CNAs specific configurations can timed: 2:1: Trisomy. 2:0: Copy neutral LOH. 2:2: Tetraploidy. Note : clonal CNAs accepted tickTack. Subclonal CNAs complex configurations supported timing analysis.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"reference-genome-coordinates","dir":"Articles","previous_headings":"","what":"Reference genome coordinates","title":"1. Introduction","text":"tickTack uses genome coordinates reference system convert relative relative absolute coordinates, step required plot segments across whole genome. instance, mutation maps position 100100 chromosome chr2, absolute coordinate 100+L100 + L LL length chr1. reference system adopted tickTack needs therefore report length chromosome, plus information regarding boundary centromere. Note: mapping mutations onto segments independent reference genome, work far mutation CNA segments mapped reference. tickTack supports two coordinates reference genomes: hg19 GRCh37; hg38 GRCh38 (default), two dataframes stored inside package.","code":"tickTack::chr_coordinates_hg19 #> # A tibble: 24 × 6 #> chr length from to centromerStart centromerEnd #> #> 1 chr1 249250621 0 249250621 121535434 124535434 #> 2 chr2 243199373 249250621 492449994 341576792 344576792 #> 3 chr3 198022430 492449994 690472424 582954848 585954848 #> 4 chr4 191154276 690472424 881626700 740132541 743132541 #> 5 chr5 180915260 881626700 1062541960 928032341 931032341 #> 6 chr6 171115067 1062541960 1233657027 1121372126 1124372126 #> 7 chr7 159138663 1233657027 1392795690 1291711358 1294711358 #> 8 chr8 146364022 1392795690 1539159712 1436634577 1439634577 #> 9 chr9 141213431 1539159712 1680373143 1586527391 1589527391 #> 10 chr10 135534747 1680373143 1815907890 1719628078 1722628078 #> # ℹ 14 more rows tickTack::chr_coordinates_GRCh38 #> # A tibble: 24 × 6 #> chr length from to centromerStart centromerEnd #> #> 1 chr1 248956422 0 248956422 122026459 124849229 #> 2 chr2 242193529 248956422 491149951 341144567 341144567 #> 3 chr3 198295559 491149951 689445510 581922409 582703370 #> 4 chr4 190214555 689445510 879660065 739157571 739157571 #> 5 chr5 181538259 879660065 1061198324 926145965 929381368 #> 6 chr6 170805979 1061198324 1232004303 1119752212 1119752212 #> 7 chr7 159345973 1232004303 1391350276 1290173956 1293382091 #> 8 chr8 145138636 1391350276 1536488912 1435384020 1435384020 #> 9 chr9 138394717 1536488912 1674883629 1579878547 1579878547 #> 10 chr10 133797422 1674883629 1808681051 1714570311 1716429449 #> # ℹ 14 more rows"},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"overview-of-the-fit-function","dir":"Articles","previous_headings":"","what":"Overview of the fit Function","title":"2. Timing Clonal Peaks","text":"fit function uses either beta-binomial binomial model fit clonal peaks sequencing data. identifies segments genome specific karyotypes mutations meet input criteria, estimates timing clonal expansions.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"key-parameters","dir":"Articles","previous_headings":"Overview of the fit Function","what":"Key Parameters","title":"2. Timing Clonal Peaks","text":"segments: data frame segment information, including chr, , , Major, minor. mutations: data frame mutation data, including chr, , , DP, NV. purity: Tumor purity numeric value. possible_k: character vector possible karyotypes, defaulting c(\"2:1\", \"2:2\", \"2:0\"). alpha: Significance level, defaulting 0.05. min_mutations_number: Minimum number mutations required analysis, defaulting 2. beta_binomial: Logical flag use beta-binomial model, default FALSE. beta_binomial_disp: Dispersion parameter beta-binomial model, default 0.01.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"output","dir":"Articles","previous_headings":"Overview of the fit Function","what":"Output","title":"2. Timing Clonal Peaks","text":"function returns list containing: inference_results: Detailed timing estimates segment. summarized_results: Summary statistics estimated timing clonal peaks. segments meet criteria, function returns NULL.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"analyzing-ticktackpcawg_example","dir":"Articles","previous_headings":"","what":"Analyzing tickTack::pcawg_example","title":"2. Timing Clonal Peaks","text":"use tickTack::pcawg_example dataset demonstrate use fit function.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"input-data","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Input Data","title":"2. Timing Clonal Peaks","text":"tickTack::pcawg_example dataset contains three components: mutations: Mutation data. cna: Copy number alterations (CNA). metadata: Sample metadata, including tumor purity. Preview data:","code":"library(tickTack) # View example dataset components mutations <- tickTack::pcawg_example$mutations cna <- tickTack::pcawg_example$cna metadata <- tickTack::pcawg_example$metadata head(mutations) ## chr from to ref alt DP NV VAF ## 1 chr1 1015594 1015594 C C 99 16 0.1616162 ## 2 chr1 1866371 1866371 C C 250 67 0.2680000 ## 3 chr1 1921712 1921712 C C 62 20 0.3225806 ## 4 chr1 2049858 2049858 G G 118 15 0.1271186 ## 5 chr1 2357842 2357842 C C 84 12 0.1428571 ## 6 chr1 2771915 2771915 G G 90 27 0.3000000 ## sample ## 1 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 2 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 3 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 4 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 5 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 6 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 head(cna) ## chr from to Major minor CCF total_cn ## 1 chr1 10001 790008 2 2 1.0000000 4 ## 2 chr1 790009 13212499 2 2 1.0000000 4 ## 3 chr1 13212500 33458785 2 2 1.0000000 4 ## 4 chr1 33458786 33564126 2 2 0.1943769 4 ## 5 chr1 33564127 56834601 2 2 1.0000000 4 ## 6 chr1 56834602 121499999 2 2 1.0000000 4 metadata ## sample purity ploidy purity_conf_mad wgd_status ## 1 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 0.406 4.082 0.009 wgd ## wgd_uncertain ## 1 FALSE"},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"running-the-fit-function","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Running the fit function","title":"2. Timing Clonal Peaks","text":"can run fit function tickTack::pcawg_example data infer timing clonal peaks","code":"## ℹ Fitting segment with index 2 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 finished in 1.1 seconds. ## Chain 2 finished in 1.1 seconds. ## Chain 3 finished in 1.1 seconds. ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 finished in 1.2 seconds. ## Chain 5 finished in 1.2 seconds. ## Chain 6 finished in 1.2 seconds. ## Chain 7 finished in 1.2 seconds. ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 1.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.2 seconds. ## Total execution time: 1.5 seconds. ## ℹ Fitting segment with index 3 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 1.5 seconds. ## Chain 4 finished in 1.5 seconds. ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 1.6 seconds. ## Chain 3 finished in 1.6 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 1.6 seconds. ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 1.6 seconds. ## Chain 7 finished in 1.6 seconds. ## Chain 8 finished in 1.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.5 seconds. ## Total execution time: 1.8 seconds. ## ℹ Fitting segment with index 5 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 1.7 seconds. ## Chain 2 finished in 1.7 seconds. ## Chain 3 finished in 1.7 seconds. ## Chain 5 finished in 1.7 seconds. ## Chain 6 finished in 1.7 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.8 seconds. ## Chain 7 finished in 1.7 seconds. ## Chain 8 finished in 1.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.7 seconds. ## Total execution time: 1.9 seconds. ## ℹ Fitting segment with index 6 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 4.7 seconds. ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 finished in 5.2 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 5.3 seconds. ## Chain 7 finished in 5.2 seconds. ## Chain 8 finished in 5.2 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 5.5 seconds. ## Chain 6 finished in 5.4 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 5.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 5.2 seconds. ## Total execution time: 5.7 seconds. ## ℹ Fitting segment with index 10 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 11 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 3.0 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.1 seconds. ## Chain 8 finished in 3.0 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 3.3 seconds. ## Chain 3 finished in 3.2 seconds. ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.3 seconds. ## Chain 6 finished in 3.2 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.4 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.2 seconds. ## Total execution time: 3.5 seconds. ## ℹ Fitting segment with index 12 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 3.4 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 3.4 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 finished in 3.5 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 3.6 seconds. ## Chain 8 finished in 3.5 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.7 seconds. ## Chain 5 finished in 3.7 seconds. ## Chain 7 finished in 3.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.5 seconds. ## Total execution time: 3.8 seconds. ## ℹ Fitting segment with index 13 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 0.3 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 30 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 4.1 seconds. ## Chain 3 finished in 4.0 seconds. ## Chain 5 finished in 4.0 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 4.2 seconds. ## Chain 4 finished in 4.2 seconds. ## Chain 7 finished in 4.0 seconds. ## Chain 8 finished in 4.1 seconds. ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 4.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.1 seconds. ## Total execution time: 4.3 seconds. ## ℹ Fitting segment with index 31 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 32 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 9.7 seconds. ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 10.0 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 10.2 seconds. ## Chain 4 finished in 10.2 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 10.3 seconds. ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 finished in 10.5 seconds. ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 10.5 seconds. ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 10.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 10.3 seconds. ## Total execution time: 10.8 seconds. ## ℹ Fitting segment with index 34 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 finished in 0.6 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 0.7 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 0.7 seconds. ## Chain 3 finished in 0.7 seconds. ## Chain 5 finished in 0.7 seconds. ## Chain 6 finished in 0.7 seconds. ## Chain 7 finished in 0.7 seconds. ## Chain 8 finished in 0.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.7 seconds. ## Total execution time: 0.8 seconds. ## ℹ Fitting segment with index 35 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 finished in 1.0 seconds. ## Chain 2 finished in 1.0 seconds. ## Chain 3 finished in 1.0 seconds. ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 1.0 seconds. ## Chain 6 finished in 1.0 seconds. ## Chain 8 finished in 1.0 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.1 seconds. ## Chain 7 finished in 1.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.0 seconds. ## Total execution time: 1.3 seconds. ## ℹ Fitting segment with index 36 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 3.2 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 3.3 seconds. ## Chain 3 finished in 3.3 seconds. ## Chain 4 finished in 3.2 seconds. ## Chain 6 finished in 3.2 seconds. ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.4 seconds. ## Chain 7 finished in 3.2 seconds. ## Chain 8 finished in 3.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.2 seconds. ## Total execution time: 3.5 seconds. ## ℹ Fitting segment with index 37 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 38 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 finished in 3.3 seconds. ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 3.5 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.5 seconds. ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 3.6 seconds. ## Chain 3 finished in 3.6 seconds. ## Chain 5 finished in 3.5 seconds. ## Chain 7 finished in 3.5 seconds. ## Chain 8 finished in 3.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.5 seconds. ## Total execution time: 3.7 seconds. ## ℹ Fitting segment with index 40 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 3.2 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 3.3 seconds. ## Chain 3 finished in 3.2 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.4 seconds. ## Chain 5 finished in 3.4 seconds. ## Chain 6 finished in 3.3 seconds. ## Chain 7 finished in 3.3 seconds. ## Chain 8 finished in 3.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.3 seconds. ## Total execution time: 3.5 seconds. ## ℹ Fitting segment with index 41 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 2.5 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 2.6 seconds. ## Chain 6 finished in 2.6 seconds. ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 2.7 seconds. ## Chain 4 finished in 2.6 seconds. ## Chain 5 finished in 2.6 seconds. ## Chain 7 finished in 2.6 seconds. ## Chain 8 finished in 2.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.6 seconds. ## Total execution time: 2.8 seconds. ## ℹ Fitting segment with index 43 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 54 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.3 seconds. ## Chain 2 finished in 0.3 seconds. ## Chain 3 finished in 0.3 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 finished in 0.3 seconds. ## Chain 6 finished in 0.3 seconds. ## Chain 7 finished in 0.3 seconds. ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.3 seconds. ## Total execution time: 0.5 seconds. ## ℹ Fitting segment with index 55 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.0 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 56 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 3.0 seconds. ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.1 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 3.3 seconds. ## Chain 4 finished in 3.2 seconds. ## Chain 8 finished in 3.2 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 3.4 seconds. ## Chain 6 finished in 3.3 seconds. ## Chain 7 finished in 3.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.2 seconds. ## Total execution time: 3.5 seconds. ## ℹ Fitting segment with index 59 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 1.2 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.3 seconds. ## Chain 3 finished in 1.3 seconds. ## Chain 4 finished in 1.3 seconds. ## Chain 5 finished in 1.2 seconds. ## Chain 6 finished in 1.3 seconds. ## Chain 8 finished in 1.2 seconds. ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 1.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.3 seconds. ## Total execution time: 1.5 seconds. ## ℹ Fitting segment with index 68 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 2.9 seconds. ## Chain 2 finished in 3.0 seconds. ## Chain 4 finished in 3.0 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 3.0 seconds. ## Chain 5 finished in 3.0 seconds. ## Chain 6 finished in 3.0 seconds. ## Chain 7 finished in 2.9 seconds. ## Chain 8 finished in 3.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.0 seconds. ## Total execution time: 3.2 seconds. ## ℹ Fitting segment with index 69 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 finished in 2.5 seconds. ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 2.8 seconds. ## Chain 3 finished in 2.8 seconds. ## Chain 6 finished in 2.7 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 2.8 seconds. ## Chain 5 finished in 2.8 seconds. ## Chain 7 finished in 2.7 seconds. ## Chain 8 finished in 2.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.7 seconds. ## Total execution time: 2.9 seconds. ## ℹ Fitting segment with index 70 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 finished in 1.4 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.4 seconds. ## Chain 3 finished in 1.4 seconds. ## Chain 6 finished in 1.3 seconds. ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 finished in 1.5 seconds. ## Chain 5 finished in 1.4 seconds. ## Chain 7 finished in 1.4 seconds. ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 1.4 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.4 seconds. ## Total execution time: 1.6 seconds. ## ℹ Fitting segment with index 75 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 1.8 seconds. ## Chain 4 finished in 1.8 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 2.0 seconds. ## Chain 3 finished in 1.9 seconds. ## Chain 5 finished in 1.9 seconds. ## Chain 6 finished in 1.9 seconds. ## Chain 7 finished in 1.9 seconds. ## Chain 8 finished in 1.9 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.9 seconds. ## Total execution time: 2.0 seconds. ## ℹ Fitting segment with index 77 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 finished in 1.0 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 1.1 seconds. ## Chain 4 finished in 1.0 seconds. ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 1.1 seconds. ## Chain 5 finished in 1.1 seconds. ## Chain 6 finished in 1.0 seconds. ## Chain 7 finished in 1.1 seconds. ## Chain 8 finished in 1.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.0 seconds. ## Total execution time: 1.2 seconds. ## ℹ Fitting segment with index 79 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 finished in 4.3 seconds. ## Chain 3 finished in 4.3 seconds. ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 finished in 4.5 seconds. ## Chain 5 finished in 4.5 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 4.6 seconds. ## Chain 8 finished in 4.5 seconds. ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 4.7 seconds. ## Chain 7 finished in 4.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.5 seconds. ## Total execution time: 4.8 seconds. ## ℹ Fitting segment with index 87 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 88 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 92 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 94 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 100 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 102 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 105 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 106 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 108 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 112 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 114 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 115 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 119 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 126 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 4.8 seconds. ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 4.9 seconds. ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 4.8 seconds. ## Chain 8 finished in 4.7 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 4.9 seconds. ## Chain 7 finished in 4.9 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 finished in 5.0 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 5.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.9 seconds. ## Total execution time: 5.3 seconds. ## ℹ Fitting segment with index 128 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 finished in 3.6 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 3.8 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.8 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 finished in 3.9 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 4.0 seconds. ## Chain 6 finished in 4.0 seconds. ## Chain 7 finished in 3.9 seconds. ## Chain 8 finished in 4.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.9 seconds. ## Total execution time: 4.1 seconds. ## ℹ Fitting segment with index 129 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 130 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 2.1 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 2.2 seconds. ## Chain 4 finished in 2.2 seconds. ## Chain 5 finished in 2.1 seconds. ## Chain 6 finished in 2.1 seconds. ## Chain 7 finished in 2.1 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 2.3 seconds. ## Chain 8 finished in 2.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.2 seconds. ## Total execution time: 2.4 seconds. ## ℹ Fitting segment with index 131 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 133 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 134 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.4 seconds. ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 0.5 seconds. ## Chain 3 finished in 0.5 seconds. ## Chain 4 finished in 0.6 seconds. ## Chain 5 finished in 0.5 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 0.5 seconds. ## Chain 7 finished in 0.5 seconds. ## Chain 8 finished in 0.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.5 seconds. ## Total execution time: 0.8 seconds. ## ℹ Fitting segment with index 135 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 finished in 1.2 seconds. ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 1.4 seconds. ## Chain 2 finished in 1.3 seconds. ## Chain 4 finished in 1.3 seconds. ## Chain 5 finished in 1.3 seconds. ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 1.4 seconds. ## Chain 7 finished in 1.3 seconds. ## Chain 8 finished in 1.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.3 seconds. ## Total execution time: 1.6 seconds. ## ℹ Fitting segment with index 145 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 6.6 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 finished in 6.6 seconds. ## Chain 6 finished in 6.6 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 6.7 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 finished in 6.8 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 7.0 seconds. ## Chain 3 finished in 7.0 seconds. ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 7.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 6.8 seconds. ## Total execution time: 7.2 seconds. ## ℹ Fitting segment with index 149 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 1.5 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.6 seconds. ## Chain 4 finished in 1.5 seconds. ## Chain 6 finished in 1.4 seconds. ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 1.6 seconds. ## Chain 5 finished in 1.6 seconds. ## Chain 7 finished in 1.5 seconds. ## Chain 8 finished in 1.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.5 seconds. ## Total execution time: 1.7 seconds. ## ℹ Fitting segment with index 150 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 finished in 4.5 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 4.8 seconds. ## Chain 2 finished in 4.8 seconds. ## Chain 3 finished in 4.8 seconds. ## Chain 7 finished in 4.7 seconds. ## Chain 8 finished in 4.7 seconds. ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 4.9 seconds. ## Chain 5 finished in 4.9 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.8 seconds. ## Total execution time: 5.0 seconds. ## ℹ Fitting segment with index 154 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 finished in 5.2 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 5.4 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 5.4 seconds. ## Chain 8 finished in 5.4 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 5.6 seconds. ## Chain 4 finished in 5.7 seconds. ## Chain 7 finished in 5.5 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 5.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 5.5 seconds. ## Total execution time: 5.8 seconds. ## ℹ Fitting segment with index 155 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 165 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 finished in 0.7 seconds. ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 finished in 0.8 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 0.9 seconds. ## Chain 5 finished in 0.7 seconds. ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 finished in 0.9 seconds. ## Chain 6 finished in 0.8 seconds. ## Chain 7 finished in 0.8 seconds. ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.8 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.8 seconds. ## Total execution time: 1.0 seconds. ## ℹ Fitting segment with index 168 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 170 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.8 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 1.8 seconds. ## Chain 4 finished in 1.8 seconds. ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 finished in 1.9 seconds. ## Chain 5 finished in 1.9 seconds. ## Chain 6 finished in 1.9 seconds. ## Chain 7 finished in 1.8 seconds. ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 1.8 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.8 seconds. ## Total execution time: 2.1 seconds. ## ℹ Fitting segment with index 173 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 1.1 seconds. ## Chain 2 finished in 1.0 seconds. ## Chain 3 finished in 1.0 seconds. ## Chain 4 finished in 0.9 seconds. ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 1.1 seconds. ## Chain 6 finished in 1.1 seconds. ## Chain 7 finished in 1.0 seconds. ## Chain 8 finished in 1.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.0 seconds. ## Total execution time: 1.2 seconds. ## ℹ Fitting segment with index 175 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 3.4 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 3.6 seconds. ## Chain 4 finished in 3.5 seconds. ## Chain 6 finished in 3.5 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 3.6 seconds. ## Chain 5 finished in 3.5 seconds. ## Chain 8 finished in 3.5 seconds. ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.5 seconds. ## Total execution time: 3.8 seconds. ## ℹ Fitting segment with index 176 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 177 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 finished in 1.2 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 1.2 seconds. ## Chain 3 finished in 1.2 seconds. ## Chain 5 finished in 1.2 seconds. ## Chain 6 finished in 1.2 seconds. ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.3 seconds. ## Chain 7 finished in 1.2 seconds. ## Chain 8 finished in 1.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.2 seconds. ## Total execution time: 1.4 seconds. ## ℹ Fitting segment with index 178 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 180 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 finished in 1.8 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 1.9 seconds. ## Chain 4 finished in 1.9 seconds. ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 finished in 2.0 seconds. ## Chain 5 finished in 2.0 seconds. ## Chain 7 finished in 1.9 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 2.0 seconds. ## Chain 8 finished in 1.9 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.9 seconds. ## Total execution time: 2.2 seconds. ## ℹ Fitting segment with index 181 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 182 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 2.7 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 finished in 2.8 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 2.8 seconds. ## Chain 4 finished in 2.8 seconds. ## Chain 5 finished in 2.7 seconds. ## Chain 7 finished in 2.8 seconds. ## Chain 8 finished in 2.8 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 2.9 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.8 seconds. ## Total execution time: 3.0 seconds. ## ℹ Fitting segment with index 187 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 finished in 0.8 seconds. ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 0.8 seconds. ## Chain 4 finished in 0.7 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 finished in 0.9 seconds. ## Chain 5 finished in 0.8 seconds. ## Chain 6 finished in 0.8 seconds. ## Chain 7 finished in 0.8 seconds. ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.8 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.8 seconds. ## Total execution time: 1.1 seconds. ## ℹ Fitting segment with index 189 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 finished in 1.9 seconds. ## Chain 3 finished in 1.9 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 2.0 seconds. ## Chain 4 finished in 2.0 seconds. ## Chain 5 finished in 2.0 seconds. ## Chain 6 finished in 1.9 seconds. ## Chain 7 finished in 2.0 seconds. ## Chain 8 finished in 1.9 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.9 seconds. ## Total execution time: 2.1 seconds. ## ℹ Fitting segment with index 190 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 192 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 193 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 2.6 seconds. ## Chain 3 finished in 2.6 seconds. ## Chain 6 finished in 2.5 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 2.7 seconds. ## Chain 4 finished in 2.6 seconds. ## Chain 5 finished in 2.6 seconds. ## Chain 7 finished in 2.5 seconds. ## Chain 8 finished in 2.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.6 seconds. ## Total execution time: 2.8 seconds. ## ℹ Fitting segment with index 194 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds."},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"results","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Results","title":"2. Timing Clonal Peaks","text":"results object contains two components: inference_results summarized_results. can inspect understand timing clonal peaks:","code":"# View summarized results results$summarized_results ## # A tibble: 72 × 7 ## tau_low tau_mean tau_high segment karyotype chr segment_id ## ## 1 0.808 0.890 0.953 2 2:2 chr1 chr1_790009_13212499 ## 2 0.844 0.912 0.963 3 2:2 chr1 chr1_13212500_33458785 ## 3 0.818 0.888 0.942 5 2:2 chr1 chr1_33564127_56834601 ## 4 0.863 0.903 0.936 6 2:2 chr1 chr1_56834602_121499999 ## 5 0.393 0.683 0.892 10 2:2 chr1 chr1_143277461_149255831 ## 6 0.807 0.866 0.914 11 2:2 chr1 chr1_149255832_196892499 ## 7 0.811 0.863 0.909 12 2:2 chr1 chr1_196892500_247247500 ## 8 0.541 0.791 0.947 13 2:2 chr1 chr1_247247501_249250620 ## 9 0.769 0.825 0.875 30 2:2 chr4 chr4_74473_48199999 ## 10 0.464 0.770 0.956 31 2:2 chr4 chr4_48200000_52699999 ## # ℹ 62 more rows # View detailed inference results results$inference_results ## # A tibble: 1,152,000 × 5 ## tau segment karyotype chr segment_id ## ## 1 0.890 2 2:2 chr1 chr1_790009_13212499 ## 2 0.882 2 2:2 chr1 chr1_790009_13212499 ## 3 0.878 2 2:2 chr1 chr1_790009_13212499 ## 4 0.890 2 2:2 chr1 chr1_790009_13212499 ## 5 0.881 2 2:2 chr1 chr1_790009_13212499 ## 6 0.933 2 2:2 chr1 chr1_790009_13212499 ## 7 0.918 2 2:2 chr1 chr1_790009_13212499 ## 8 0.896 2 2:2 chr1 chr1_790009_13212499 ## 9 0.865 2 2:2 chr1 chr1_790009_13212499 ## 10 0.924 2 2:2 chr1 chr1_790009_13212499 ## # ℹ 1,151,990 more rows"},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"interpreting-the-output","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Interpreting the output","title":"2. Timing Clonal Peaks","text":"inference_results: Contains posterior distributions timing estimates (tau) segment. summarized_results: Provides mean, lower bound, upper bound timing estimates segment.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"visulizing-the-output","dir":"Articles","previous_headings":"","what":"Visulizing the output","title":"2. Timing Clonal Peaks","text":"results can viewed genome-wise perspective using tickTack::plot_timing function","code":"tickTack::plot_timing(results, segments, colour_by = \"karyotype\")"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"key-components-of-the-analysis","dir":"Articles","previous_headings":"","what":"Key Components of the Analysis","title":"3. Understanding Timing Clonal Peaks","text":"timing results obtained following steps: Extracting clonal peaks: Theoretical peaks Variant Allele Frequency (VAF) spectrum calculated specific karyotypes tumor purity. Filtering mutations: Mutations within confidence intervals around peaks selected analysis. Fitting model: Bayesian inference performed using Stan model estimate timing clonal expansions.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"step-1-calculating-clonal-peaks","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Step 1: Calculating Clonal Peaks","title":"3. Understanding Timing Clonal Peaks","text":"clonal peaks calculated using get_clonal_peaks function. function computes theoretical VAF peaks based karyotype tumor purity. computed using following equation: Peaki=Mi⋅P(Ntot⋅P)+2⋅(1−P) \\text{Peak}_i = \\frac{M_i \\cdot P}{(N_{\\text{tot}} \\cdot P) + 2 \\cdot (1 - P)} : - MiM_i: multiplicity allele interest (e.g., major allele single copy heterozygosity). - PP: tumor purity (value 0 1). - NtotN_{\\text{tot}}: total number copies karyotype (e.g., sum major minor alleles). - 22: Accounts two copies normal diploid cells.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"explanation","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 1: Calculating Clonal Peaks","what":"Explanation","title":"3. Understanding Timing Clonal Peaks","text":"numerator, Mi⋅PM_i \\cdot P, represents contribution tumor cell’s allele multiplicity adjusted tumor purity. denominator, (Ntot⋅P)+2⋅(1−P)(N_{\\text{tot}} \\cdot P) + 2 \\cdot (1 - P), normalizes peak account contributions tumor normal diploid cells sample.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"example-calculation","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 1: Calculating Clonal Peaks","what":"Example Calculation","title":"3. Understanding Timing Clonal Peaks","text":"karyotype $k = \"2:1\"$ (major allele = 2, minor allele = 1) tumor purity P=0.4P = 0.4: Ntot=2+1=3N_{\\text{tot}} = 2 + 1 = 3. Compute peaks Mi=1M_i = 1 (single allele) Mi=2M_i = 2 (major allele): Peak1=1⋅0.4(3⋅0.4)+2⋅(1−0.4)=0.41.2+1.2=0.1667 \\text{Peak}_1 = \\frac{1 \\cdot 0.4}{(3 \\cdot 0.4) + 2 \\cdot (1 - 0.4)} = \\frac{0.4}{1.2 + 1.2} = 0.1667 Peak2=2⋅0.4(3⋅0.4)+2⋅(1−0.4)=0.81.2+1.2=0.3333 \\text{Peak}_2 = \\frac{2 \\cdot 0.4}{(3 \\cdot 0.4) + 2 \\cdot (1 - 0.4)} = \\frac{0.8}{1.2 + 1.2} = 0.3333","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"step-2-filtering-mutations","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Step 2: Filtering Mutations","title":"3. Understanding Timing Clonal Peaks","text":"peaks obtained, mutations within genomic segment filtered based whether VAF values fall within confidence interval around peaks. confidence intervals computed using either: Binomial distribution: standard VAF estimation Beta-binomial distribution: account overdispersion","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"filtering-logic","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 2: Filtering Mutations","what":"Filtering logic","title":"3. Understanding Timing Clonal Peaks","text":"mutation, number variant reads (NV) compared confidence interval calculated depth (DP) peak: mutations passing test used model fitting.","code":"# Example pseudo-code for filtering probs <- c(alpha / 2, 1 - alpha / 2) for (p in peaks) { quantiles <- qbinom(probs, DP, p) # or qbb for beta-binomial if (NV >= quantiles[1] && NV <= quantiles[2]) { # Mutation is accepted } }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"step-3-bayesian-inference-with-stan","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Step 3: Bayesian Inference with Stan","title":"3. Understanding Timing Clonal Peaks","text":"final step fit Stan model filtered mutations. model estimates posterior distribution tau, represents timing clonal expansions. stan code used model divided following pieces.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"data-block","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 3: Bayesian Inference with Stan","what":"Data block","title":"3. Understanding Timing Clonal Peaks","text":", data block defines inputs model uses: N: Total number mutations analyze. NV: Number variant reads observed mutation. DP: Total sequencing depth mutation. peaks: array two real values representing theoretical clonal peaks (e.g., 2:1 2:2 ratios hypothesized clonal frequencies).","code":"data { int N; array[N] int NV; array[N] int DP; array[2] real peaks; }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"parameters-block","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 3: Bayesian Inference with Stan","what":"Parameters block","title":"3. Understanding Timing Clonal Peaks","text":"parameters block contains: omega: vector representing probability contributions theoretical peak. follows Dirichlet distribution (standard approach modeling probabilities sum 1).","code":"parameters { simplex[2] omega; }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"model-block","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 3: Bayesian Inference with Stan","what":"Model block","title":"3. Understanding Timing Clonal Peaks","text":"model block contains three components: Prior: line omega ~ dirichlet(rep_vector(2.0, 2)); applies uniform Dirichlet prior karyotype mixture probabilities (omega). means priori favor one clonal peak unless data evidence. Likelihood: likelihood computed using binomial_lpmf(NV[] | DP[], peaks[k]) (Negative binomial). term computes probability observing NV[] variant reads given sequencing depth DP[] given theoretical clonal peak value peaks[k]. Marginalization: line log_sum_exp(contributions) computes log marginal likelihood summing possible contributions (karyotypes) using softmax approach, allowing model integrate possible karyotype contributions (omega).","code":"model { vector[2] contributions; omega ~ dirichlet(rep_vector(2.0, 2)); for (i in 1:N) { for (k in 1:2) { contributions[k] = log(omega[k]) + binomial_lpmf(NV[i] | DP[i], peaks[k]); } target += log_sum_exp(contributions); } }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"final-step-conversion-from-omega-to-tau","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Final Step: Conversion from omega to tau","title":"3. Understanding Timing Clonal Peaks","text":"fitting Bayesian model, posterior probabilities (omega) represent contribution theoretical clonal peaks. convert probabilities clonal timing estimates (tau) using following equations. 2:1 karyotypes: τ=3ω22ω2+ω1 \\tau = \\frac{3\\omega_2}{2\\omega_2 + \\omega_1} 2:2 2:0 karyotypes: τ=2ω22ω2+ω1 \\tau = \\frac{2\\omega_2}{2\\omega_2 + \\omega_1}","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/tickTack.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"tickTack","text":"tickTack requires input CNAqc object attributes cna, mutations metadata. main input tool : read counts somatic mutations single-nucleotide variants (SNVs) mutation attribute; allele-specific copy number segments (CNAs) clonal segments must encoded cna attribute; tumor purity estimate metadata. tool uses chromosome coordinates map mutations segments. conversion relative absolute genome coordinates requires fix reference genome build; supported reference GRCh38/hg17 also supported CNAqc. tickTack can used : time genomic segments affected Copy Number event, obtaining one clock per segment time multiple CNAs hierarchical fashion, identifying KK clocks cluster segemnts together. following concepts used infer copy number timing.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/tickTack.html","id":"vaf-peaks","dir":"Articles","previous_headings":"Overview","what":"VAF peaks","title":"tickTack","text":"point mutations present duplicated region duplicated copy segment. Therefore can use proportion mutations happede Copy Number event distinguishing mutations single copy double copies. Therefore, single segment value clock associated Copy Number event obtained transformation proportions mutations single double copy. following quantities need considered: case trisomy without LOH, can consider fact , τ\\tau, 1 chromosome accumulate mutations duplicate, accumulate mutations remain single copy. hand, τ\\tau, chromosomes accumulate mutations remain single copy. Therefore one can write system: {N2=ρτN1=ρτ+3ρ(1−τ)\\begin{align} \\begin{cases} N_2 = \\rho \\tau N_1 = \\rho \\tau + 3\\rho(1 - \\tau) \\nonumber \\end{cases} \\end{align} Using first one obtain ρ\\rho inserting second one, solution τ\\tau becomes: $$\\begin{equation} N_1 = N_2 + \\frac{3N_2}{\\tau}(1-\\tau) \\hspace{2mm} \\rightarrow \\hspace{2mm} N_1 + 2N_2 = \\frac{3N_2}{\\tau} \\hspace{2mm} \\rightarrow \\hspace{2mm} \\tau = \\frac{3N_2}{N_1 + 2N_2} \\end{equation}$$ case CNLOH segment doubling can treated together. fact, first case, τ\\tau mutations duplicate accumulate single chromosome τ\\tau mutations remain single copy accumulate two chromosomes. system therefore becomes: {N2=ρτN1=2ρ(1−τ)\\begin{align} \\begin{cases} N_2 = \\rho \\tau N_1 = 2\\rho(1 - \\tau) \\nonumber \\end{cases} \\end{align} similar things happens case 2:2, difference number chromosomes accumulating certain type mutation double, τ\\tau. Hence, system becomes: {N2=2ρτN1=4ρ(1−τ)\\begin{align} \\begin{cases} N_2 = 2\\rho \\tau N_1 = 4\\rho(1 - \\tau) \\nonumber \\end{cases} \\end{align} Therefore, two system can solved similarly (can simply drop factor 2 second case). solution τ\\tau easily becomes: $$\\begin{equation} N_1 = \\frac{2N_2(1-\\tau)}{\\tau} \\hspace{2mm} \\rightarrow \\hspace{2mm} \\tau(N_1 + 2N_2) = 2N_2 \\hspace{2mm} \\rightarrow \\hspace{2mm} \\tau = \\frac{2N_2}{2N_2 + N_1} \\end{equation}$$","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/tickTack.html","id":"clonal-cnas","dir":"Articles","previous_headings":"Overview","what":"Clonal CNAs","title":"tickTack","text":"Consider: mutations sitting segment nA:nBnA:nB; tumour purity π\\pi; healthy diploid normal; Since proportion reads tumour π(nA+nB)\\pi(n_A+n_B), normal 2(1−π)2(1-\\pi). , muations present mm copies tumour genome peak VAF value vm(c)=mπc2(1−π)+π(nA+nB). v_m(c) = \\dfrac{m \\pi c}{ 2 (1 - \\pi) + \\pi (n_A+n_B) } \\, . –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –>","code":""},{"path":"https://caravagnalab.github.io/tickTack/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"First Last. Author, maintainer.","code":""},{"path":"https://caravagnalab.github.io/tickTack/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Last F (2024). tickTack: Timing Inference Copy number alterations: Tracking Alterations Cancer Karyotypes. R package version 0.0.0.9, https://caravagnalab.github.io/tickTack/.","code":"@Manual{, title = {tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes}, author = {First Last}, year = {2024}, note = {R package version 0.0.0.9}, url = {https://caravagnalab.github.io/tickTack/}, }"},{"path":[]},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes","text":"","code":"# install.packages(\"devtools\") devtools::install_github(\"caravagnalab/tickTack\")"},{"path":"https://caravagnalab.github.io/tickTack/index.html","id":"copyright-and-contacts","dir":"","previous_headings":"Installation","what":"Copyright and contacts","title":"Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes","text":"Cancer Data Science (CDS) Laboratory, University Trieste, Italy.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract CNAs. — CNA","title":"Extract CNAs. — CNA","text":"Getter obtain copy number calls object.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract CNAs. — CNA","text":"","code":"CNA(x, type = c(\"clonal\", \"subclonal\"))"},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract CNAs. — CNA","text":"x CNAqc object. type \"clonal\" clonal CNAs, \"subclonal\" subclonal CNAs.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract CNAs. — CNA","text":"tibble data.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract mutations. — Mutations","title":"Extract mutations. — Mutations","text":"Getter obtain mutation calls object.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract mutations. — Mutations","text":"","code":"Mutations(x, cna = c(\"clonal\", \"subclonal\"), type = c(\"SNV\", \"indel\"))"},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract mutations. — Mutations","text":"x CNAqc object. cna \"clonal\" clonal CNAs, \"subclonal\" subclonal CNAs. type \"SNV\" single-nucleotide variants, \"indel\" insertion-deletions.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract mutations. — Mutations","text":"tibble data.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":null,"dir":"Reference","previous_headings":"","what":"GRCh38 coordinates — chr_coordinates_GRCh38","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":"Reference coordinates (GRCh38)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":"","code":"chr_coordinates_GRCh38"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":"chr-coordinates-grch-","dir":"Reference","previous_headings":"","what":"chr_coordinates_GRCh38","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":"data frame: chr chromosome identifier length length chromosome Absolute coordinate chromosome start Absolute coordinate chromosome end centromerStart Absolute coordinate chromosome centromere start centromerEnd Absolute coordinate chromosome centromere end","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":null,"dir":"Reference","previous_headings":"","what":"hg19 coordinates — chr_coordinates_hg19","title":"hg19 coordinates — chr_coordinates_hg19","text":"Reference coordinates (hg19)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"hg19 coordinates — chr_coordinates_hg19","text":"","code":"chr_coordinates_hg19"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":"chr-coordinates-hg-","dir":"Reference","previous_headings":"","what":"chr_coordinates_hg19","title":"hg19 coordinates — chr_coordinates_hg19","text":"data frame: chr chromosome identifier length length chromosome Absolute coordinate chromosome start Absolute coordinate chromosome end centromerStart Absolute coordinate chromosome centromere start centromerEnd Absolute coordinate chromosome centromere end","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"hg19 coordinates — chr_coordinates_hg19","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit timing of clonal peaks in cancer genome sequencing data — fit","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"function fits timing clonal peaks cancer genome sequencing data using either beta-binomial binomial model.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"","code":"fit( segments, mutations, purity, possible_k = c(\"2:1\", \"2:2\", \"2:0\"), alpha = 0.05, min_mutations_number = 2, beta_binomial = FALSE, beta_binomial_disp = 0.01 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"segments data frame containing segment information columns chr, , , Major, minor. mutations data frame containing mutation information columns chr, , , DP, NV. purity numeric value representing tumor purity. possible_k character vector possible karyotypes format \"Major:minor\". Default c(\"2:1\", \"2:2\", \"2:0\"). alpha numeric value significance level. Default 0.05. min_mutations_number integer specifying minimum number mutations required analysis. Default 2. beta_binomial logical value indicating whether use beta-binomial model. Default FALSE. beta_binomial_disp numeric value beta-binomial dispersion parameter. Default 0.01.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"list containing two tibbles: inference_results summarized_results. Returns NULL results obtained.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the fit to obtain the clocks posteriors — fit_h","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"Obtain approximate posterior clocks model fit number components k_max.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"","code":"fit_h( x, max_attempts = 2, INIT = TRUE, tolerance = 0.01, possible_k = c(\"2:1\", \"2:2\", \"2:0\"), alpha = 0.05, min_mutations_number = 2, n_components = 0 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"x list: CNAqc object. max_attempts num: max number repeated inference ADVI INIT logical: boolean variable set initialization phase TRUE FALSE tolerance num: tolerance ELBO optimization procedure possible_k chr: \"2:1\" \"2:2\" \"2:0\" alpha num: (type double) confidence interval level choose data fall expected binomial intervals min_mutations_number num: (type double) minimum number accepted mutations segment included inference n_components number components specified user","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"results_and_data = list(data = input_data_list, results = results, output_files_list = output_files_list)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":null,"dir":"Reference","previous_headings":"","what":"fit_variational Function — fit_variational_h","title":"fit_variational Function — fit_variational_h","text":"function performs inference using ADVI algorithm. Repeat inference fails repeat avoid local minima, taking best run.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"fit_variational Function — fit_variational_h","text":"","code":"fit_variational_h( input_data, max_attempts = 2, initialization = NULL, INIT = TRUE, initial_iter = 1000, grad_samples = 10, elbo_samples = 100, tolerance = 0.01 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"fit_variational Function — fit_variational_h","text":"input_data list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num max_attempts num: max number repeated inference ADVI initialization list: List 4: $w: num (1:S, 1:3), $tau: num (1:K), $phi: num (1:K), $kappa: num INIT logical: boolean variable set initialization phase TRUE FALSE initial_iter description grad_samples description elbo_samples description tolerance num: tolerance ELBO optimization procedure","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"fit_variational Function — fit_variational_h","text":"best_fit","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_clonal_peaks.html","id":null,"dir":"Reference","previous_headings":"","what":"get_clonal_peaks Function — get_clonal_peaks","title":"get_clonal_peaks Function — get_clonal_peaks","text":"Obtain theoretical peaks observed VAF spectrum.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_clonal_peaks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"get_clonal_peaks Function — get_clonal_peaks","text":"","code":"get_clonal_peaks(k, purity)"},{"path":"https://caravagnalab.github.io/tickTack/reference/get_clonal_peaks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"get_clonal_peaks Function — get_clonal_peaks","text":"k karyotype purity peaks","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":null,"dir":"Reference","previous_headings":"","what":"get_initialization — get_initialization","title":"get_initialization — get_initialization","text":"Perform c-means proportions mutations fall first second binomial interval (accepted mutations) retrieve centroids u matrix used initialization parameters.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"get_initialization — get_initialization","text":"","code":"get_initialization(input_data, purity, phi = c(), kappa = 5, alpha = 0.05)"},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"get_initialization — get_initialization","text":"input_data list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num purity num: (type = double) sample purity 0 1 phi parameters dirichlet reparametrization uniformly initialized kappa parameters dirichlet reparametrization alpha num: (type double) confidence interval level choose data fall expected binomial intervals","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"get_initialization — get_initialization","text":"inits list: List 4: $w: num (1:S, 1:3), $tau: num (1:K), $phi: num (1:K), $kappa: num","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/karyo_to_int.html","id":null,"dir":"Reference","previous_headings":"","what":"karyo_to_int Function — karyo_to_int","title":"karyo_to_int Function — karyo_to_int","text":"function allows change string representation CN events numeric values 0 - 1.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/karyo_to_int.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"karyo_to_int Function — karyo_to_int","text":"","code":"karyo_to_int(k)"},{"path":"https://caravagnalab.github.io/tickTack/reference/karyo_to_int.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"karyo_to_int Function — karyo_to_int","text":"k karyotype string","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":null,"dir":"Reference","previous_headings":"","what":"model_selection Function — model_selection_h","title":"model_selection Function — model_selection_h","text":"Perform model selection among models fit varying number mixture components (number clocks).","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"model_selection Function — model_selection_h","text":"","code":"model_selection_h( data, draws_and_summary, log_lik_matrix_list, elbo_iterations, n_components = 0 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"model_selection Function — model_selection_h","text":"data list k_max lists: $input_data:list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num draws_and_summary list lenght k_max draws form variational method summary statistics draws approximate posterior log_lik_matrix_list list lenght k_max elbo_iterations list lenght k_max n_components number components specified user","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"model_selection Function — model_selection_h","text":"result_model_selection: list $best_fit, $best_K, $model_selection_tibble, $entropy_list)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":null,"dir":"Reference","previous_headings":"","what":"pcawg_example — pcawg_example","title":"pcawg_example — pcawg_example","text":"Pcawg example test timing inference","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"pcawg_example — pcawg_example","text":"","code":"pcawg_example"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":"pcawg-example","dir":"Reference","previous_headings":"","what":"pcawg_example","title":"pcawg_example — pcawg_example","text":"list: mutations tibble observed mutations cna tibble observed copy number alterations metadata tibble containing sample metadata","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"pcawg_example — pcawg_example","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":null,"dir":"Reference","previous_headings":"","what":"pcawg_example_2 — pcawg_example_2","title":"pcawg_example_2 — pcawg_example_2","text":"Pcawg example test timing inference","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"pcawg_example_2 — pcawg_example_2","text":"","code":"pcawg_example_2"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":"pcawg-example-","dir":"Reference","previous_headings":"","what":"pcawg_example_2","title":"pcawg_example_2 — pcawg_example_2","text":"list: mutations tibble observed mutations cna tibble observed copy number alterations metadata tibble containing sample metadata","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"pcawg_example_2 — pcawg_example_2","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":null,"dir":"Reference","previous_headings":"","what":"plot_inference_h Function — plot_inference_h","title":"plot_inference_h Function — plot_inference_h","text":"function obtains list input data used stan model.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"plot_inference_h Function — plot_inference_h","text":"","code":"plot_inference_h( results, K, colour_by = \"karyotype\", split_contiguous_segments = TRUE )"},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"plot_inference_h Function — plot_inference_h","text":"results list(data = input_data_list, results = results, output_files_list = output_files_list) K mun: number clocks colour_by chr: default = \"karyotype\" split_contiguous_segments option plot segments' setalarion lines","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"plot_inference_h Function — plot_inference_h","text":"p : plot inference results credibility intervals chromosome absolute positions","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"function generates plot showing timing clonal peaks cancer genome sequencing data.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"","code":"plot_timing(fit_results, segments, colour_by = \"karyotype\", ref = \"GRCh38\")"},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"fit_results list containing results fit_timing function, specifically summarized_results. segments data frame containing segment information columns chr, , , Major, minor. colour_by character string specifying variable color plot . Default \"karyotype\". ref Reference genome desired. Either 'GRCh38' 'hg19'","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"ggplot object showing timing clonal peaks.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":null,"dir":"Reference","previous_headings":"","what":"prepare_input_data Function — prepare_input_data","title":"prepare_input_data Function — prepare_input_data","text":"function obtains list input data used stan model.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"prepare_input_data Function — prepare_input_data","text":"","code":"prepare_input_data( mutations, segments, purity, possible_k = c(\"2:1\", \"2:2\", \"2:0\"), alpha = 0.05, min_mutations_number = 2 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"prepare_input_data Function — prepare_input_data","text":"mutations list: output CNAqc Mutations(x), x CNAqc object segments list: output CNAqc CNA(x), x CNAqc object purity num: (type = double) sample purity 0 1 possible_k chr: \"2:1\" \"2:2\" \"2:0\" alpha num: (type double) confidence interval level choose data fall expected binomial intervals min_mutations_number num: (type double) minimum number accepted mutations segment included inference","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"prepare_input_data Function — prepare_input_data","text":"accepted_data: list $input_data:list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num $accepted_cna: tibble (S × 5)(S3: tbl_df/tbl/data.frame): $segment_original_indx: int, $segment_name: chr, $segment_id: num, $karyotype: chr, $chr: chr","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/tickTack-package.html","id":null,"dir":"Reference","previous_headings":"","what":"tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package","title":"tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package","text":"package (one paragraph).","code":""},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/tickTack-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package","text":"Maintainer: First Last first.last@example.com (ORCID)","code":""}]
+[{"path":"https://caravagnalab.github.io/tickTack/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2024 tickTack authors Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"input-data-structure","dir":"Articles","previous_headings":"","what":"Input Data Structure","title":"1. Introduction","text":"input data consists three components stored named elements list: mutations, cna, metadata. description component.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"mutations","dir":"Articles","previous_headings":"Input Data Structure","what":"1. Mutations","title":"1. Introduction","text":"mutations component tibble containing information somatic mutations. row represents mutation, following columns: chr: Chromosome mutation occurs. : Start end positions mutation chromosome. ref alt: Reference alternate alleles. DP: Depth sequencing coverage mutation site. NV: Number reads supporting variant. VAF: Variant allele frequency, calculated NV / DP. sample: Unique identifier sample. example, first rows mutations look like :","code":"tickTack::pcawg_example$mutations %>% head() #> # A tibble: 6 × 9 #> chr from to ref alt DP NV VAF sample #> #> 1 chr1 1015594 1015594 C C 99 16 0.162 00db1b95-8ca3-4cc4-bb46-6… #> 2 chr1 1866371 1866371 C C 250 67 0.268 00db1b95-8ca3-4cc4-bb46-6… #> 3 chr1 1921712 1921712 C C 62 20 0.323 00db1b95-8ca3-4cc4-bb46-6… #> 4 chr1 2049858 2049858 G G 118 15 0.127 00db1b95-8ca3-4cc4-bb46-6… #> 5 chr1 2357842 2357842 C C 84 12 0.143 00db1b95-8ca3-4cc4-bb46-6… #> 6 chr1 2771915 2771915 G G 90 27 0.3 00db1b95-8ca3-4cc4-bb46-6…"},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"copy-number-alterations-cna","dir":"Articles","previous_headings":"Input Data Structure","what":"2. Copy Number Alterations (CNA)","title":"1. Introduction","text":"cna component tibble describes regions genome alterations copy number. row represents genomic segment, following columns: chr: Chromosome segment. : Start end positions segment. Major minor: Major minor allele copy numbers. CCF Cancer cell fraction segment. total_cn: Total copy number (sum Major minor). preview cna data:","code":"tickTack::pcawg_example$cna %>% head() #> # A tibble: 6 × 7 #> chr from to Major minor CCF total_cn #> #> 1 chr1 10001 790008 2 2 1 4 #> 2 chr1 790009 13212499 2 2 1 4 #> 3 chr1 13212500 33458785 2 2 1 4 #> 4 chr1 33458786 33564126 2 2 0.194 4 #> 5 chr1 33564127 56834601 2 2 1 4 #> 6 chr1 56834602 121499999 2 2 1 4"},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"metadata","dir":"Articles","previous_headings":"Input Data Structure","what":"3. Metadata","title":"1. Introduction","text":"metadata component tibble containing sample-level information, following columns: sample: Unique identifier sample. purity: Tumor purity, representing proportion cancer cells sample. ploidy: Average ploidy sample. purity_conf_mad: Confidence interval purity estimate. wgd_status: Whole genome doubling status (e.g., wgd wgd). wgd_uncertain: Logical indicating uncertainty wgd_status. example metadata shown :","code":"tickTack::pcawg_example$metadata #> # A tibble: 1 × 6 #> sample purity ploidy purity_conf_mad wgd_status wgd_uncertain #> #> 1 00db1b95-8ca3-4cc4-bb4… 0.406 4.08 0.009 wgd FALSE"},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"types-of-copy-number-alterations-cnas","dir":"Articles","previous_headings":"","what":"Types of Copy Number Alterations (CNAs)","title":"1. Introduction","text":"cna component can include different types copy number segments, categorized follows:","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"clonal-simple-cnas","dir":"Articles","previous_headings":"Types of Copy Number Alterations (CNAs)","what":"Clonal Simple CNAs","title":"1. Introduction","text":"straightforward alterations specific copy number configurations: 1:0: Loss heterozygosity (LOH). 2:0: Copy neutral LOH. 1:1: Diploid heterozygous (assumed normal reference). 2:1: Trisomy. 2:2: Tetraploidy.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"clonal-complex-and-subclonal-cnas","dir":"Articles","previous_headings":"Types of Copy Number Alterations (CNAs)","what":"Clonal Complex and Subclonal CNAs","title":"1. Introduction","text":"Clonal complex CNAs include clonal CNA considered simple. hand, subclonal CNAs involve mixture two subclones, subclone defined simple CNA.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"timing-eligibility","dir":"Articles","previous_headings":"Types of Copy Number Alterations (CNAs)","what":"Timing Eligibility","title":"1. Introduction","text":"clonal CNAs specific configurations can timed: 2:1: Trisomy. 2:0: Copy neutral LOH. 2:2: Tetraploidy. Note : clonal CNAs accepted tickTack. Subclonal CNAs complex configurations supported timing analysis.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"reference-genome-coordinates","dir":"Articles","previous_headings":"","what":"Reference genome coordinates","title":"1. Introduction","text":"tickTack uses genome coordinates reference system convert relative relative absolute coordinates, step required plot segments across whole genome. instance, mutation maps position 100100 chromosome chr2, absolute coordinate 100+L100 + L LL length chr1. reference system adopted tickTack needs therefore report length chromosome, plus information regarding boundary centromere. Note: mapping mutations onto segments independent reference genome, work far mutation CNA segments mapped reference. tickTack supports two coordinates reference genomes: hg19 GRCh37; hg38 GRCh38 (default), two dataframes stored inside package.","code":"tickTack::chr_coordinates_hg19 #> # A tibble: 24 × 6 #> chr length from to centromerStart centromerEnd #> #> 1 chr1 249250621 0 249250621 121535434 124535434 #> 2 chr2 243199373 249250621 492449994 341576792 344576792 #> 3 chr3 198022430 492449994 690472424 582954848 585954848 #> 4 chr4 191154276 690472424 881626700 740132541 743132541 #> 5 chr5 180915260 881626700 1062541960 928032341 931032341 #> 6 chr6 171115067 1062541960 1233657027 1121372126 1124372126 #> 7 chr7 159138663 1233657027 1392795690 1291711358 1294711358 #> 8 chr8 146364022 1392795690 1539159712 1436634577 1439634577 #> 9 chr9 141213431 1539159712 1680373143 1586527391 1589527391 #> 10 chr10 135534747 1680373143 1815907890 1719628078 1722628078 #> # ℹ 14 more rows tickTack::chr_coordinates_GRCh38 #> # A tibble: 24 × 6 #> chr length from to centromerStart centromerEnd #> #> 1 chr1 248956422 0 248956422 122026459 124849229 #> 2 chr2 242193529 248956422 491149951 341144567 341144567 #> 3 chr3 198295559 491149951 689445510 581922409 582703370 #> 4 chr4 190214555 689445510 879660065 739157571 739157571 #> 5 chr5 181538259 879660065 1061198324 926145965 929381368 #> 6 chr6 170805979 1061198324 1232004303 1119752212 1119752212 #> 7 chr7 159345973 1232004303 1391350276 1290173956 1293382091 #> 8 chr8 145138636 1391350276 1536488912 1435384020 1435384020 #> 9 chr9 138394717 1536488912 1674883629 1579878547 1579878547 #> 10 chr10 133797422 1674883629 1808681051 1714570311 1716429449 #> # ℹ 14 more rows"},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"overview-of-the-fit-function","dir":"Articles","previous_headings":"","what":"Overview of the fit Function","title":"2. Timing Clonal Peaks","text":"fit function uses either beta-binomial binomial model fit clonal peaks sequencing data. identifies segments genome specific karyotypes mutations meet input criteria, estimates timing clonal expansions.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"key-parameters","dir":"Articles","previous_headings":"Overview of the fit Function","what":"Key Parameters","title":"2. Timing Clonal Peaks","text":"segments: data frame segment information, including chr, , , Major, minor. mutations: data frame mutation data, including chr, , , DP, NV. purity: Tumor purity numeric value. possible_k: character vector possible karyotypes, defaulting c(\"2:1\", \"2:2\", \"2:0\"). alpha: Significance level, defaulting 0.05. min_mutations_number: Minimum number mutations required analysis, defaulting 2. beta_binomial: Logical flag use beta-binomial model, default FALSE. beta_binomial_disp: Dispersion parameter beta-binomial model, default 0.01.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"output","dir":"Articles","previous_headings":"Overview of the fit Function","what":"Output","title":"2. Timing Clonal Peaks","text":"function returns list containing: inference_results: Detailed timing estimates segment. summarized_results: Summary statistics estimated timing clonal peaks. segments meet criteria, function returns NULL.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"analyzing-ticktackpcawg_example","dir":"Articles","previous_headings":"","what":"Analyzing tickTack::pcawg_example","title":"2. Timing Clonal Peaks","text":"use tickTack::pcawg_example dataset demonstrate use fit function.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"input-data","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Input Data","title":"2. Timing Clonal Peaks","text":"tickTack::pcawg_example dataset contains three components: mutations: Mutation data. cna: Copy number alterations (CNA). metadata: Sample metadata, including tumor purity. Preview data:","code":"library(tickTack) # View example dataset components mutations <- tickTack::pcawg_example$mutations cna <- tickTack::pcawg_example$cna metadata <- tickTack::pcawg_example$metadata head(mutations) ## chr from to ref alt DP NV VAF ## 1 chr1 1015594 1015594 C C 99 16 0.1616162 ## 2 chr1 1866371 1866371 C C 250 67 0.2680000 ## 3 chr1 1921712 1921712 C C 62 20 0.3225806 ## 4 chr1 2049858 2049858 G G 118 15 0.1271186 ## 5 chr1 2357842 2357842 C C 84 12 0.1428571 ## 6 chr1 2771915 2771915 G G 90 27 0.3000000 ## sample ## 1 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 2 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 3 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 4 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 5 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 ## 6 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 head(cna) ## chr from to Major minor CCF total_cn ## 1 chr1 10001 790008 2 2 1.0000000 4 ## 2 chr1 790009 13212499 2 2 1.0000000 4 ## 3 chr1 13212500 33458785 2 2 1.0000000 4 ## 4 chr1 33458786 33564126 2 2 0.1943769 4 ## 5 chr1 33564127 56834601 2 2 1.0000000 4 ## 6 chr1 56834602 121499999 2 2 1.0000000 4 metadata ## sample purity ploidy purity_conf_mad wgd_status ## 1 00db1b95-8ca3-4cc4-bb46-6b8c8019a7c7 0.406 4.082 0.009 wgd ## wgd_uncertain ## 1 FALSE"},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"running-the-fit-function","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Running the fit function","title":"2. Timing Clonal Peaks","text":"can run fit function tickTack::pcawg_example data infer timing clonal peaks","code":"## ℹ Fitting segment with index 2 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 finished in 1.1 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 1.1 seconds. ## Chain 3 finished in 1.2 seconds. ## Chain 7 finished in 1.1 seconds. ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.3 seconds. ## Chain 5 finished in 1.3 seconds. ## Chain 6 finished in 1.3 seconds. ## Chain 8 finished in 1.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.2 seconds. ## Total execution time: 1.4 seconds. ## ℹ Fitting segment with index 3 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 finished in 1.5 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 1.5 seconds. ## Chain 3 finished in 1.5 seconds. ## Chain 5 finished in 1.5 seconds. ## Chain 6 finished in 1.5 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.6 seconds. ## Chain 7 finished in 1.5 seconds. ## Chain 8 finished in 1.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.5 seconds. ## Total execution time: 1.7 seconds. ## ℹ Fitting segment with index 5 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 finished in 1.6 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 1.7 seconds. ## Chain 3 finished in 1.7 seconds. ## Chain 6 finished in 1.6 seconds. ## Chain 7 finished in 1.6 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.8 seconds. ## Chain 4 finished in 1.8 seconds. ## Chain 8 finished in 1.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.7 seconds. ## Total execution time: 1.9 seconds. ## ℹ Fitting segment with index 6 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 5.0 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 finished in 5.1 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 finished in 5.1 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 5.3 seconds. ## Chain 8 finished in 5.2 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 5.5 seconds. ## Chain 4 finished in 5.4 seconds. ## Chain 5 finished in 5.4 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 5.2 seconds. ## Total execution time: 5.5 seconds. ## ℹ Fitting segment with index 10 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 11 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 3.0 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.1 seconds. ## Chain 8 finished in 3.1 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 3.3 seconds. ## Chain 3 finished in 3.3 seconds. ## Chain 6 finished in 3.2 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.3 seconds. ## Chain 5 finished in 3.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.2 seconds. ## Total execution time: 3.5 seconds. ## ℹ Fitting segment with index 12 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 finished in 3.3 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 3.5 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 3.4 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 finished in 3.6 seconds. ## Chain 4 finished in 3.6 seconds. ## Chain 5 finished in 3.6 seconds. ## Chain 6 finished in 3.5 seconds. ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.5 seconds. ## Total execution time: 3.8 seconds. ## ℹ Fitting segment with index 13 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.3 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 0.3 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.5 seconds. ## ℹ Fitting segment with index 30 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 finished in 4.0 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 4.1 seconds. ## Chain 7 finished in 3.9 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 4.2 seconds. ## Chain 4 finished in 4.1 seconds. ## Chain 5 finished in 4.1 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 4.2 seconds. ## Chain 8 finished in 4.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.1 seconds. ## Total execution time: 4.4 seconds. ## ℹ Fitting segment with index 31 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 32 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 9.9 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 finished in 10.1 seconds. ## Chain 4 finished in 10.2 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 10.3 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 10.4 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 finished in 10.4 seconds. ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 10.5 seconds. ## Chain 8 finished in 10.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 10.3 seconds. ## Total execution time: 10.8 seconds. ## ℹ Fitting segment with index 34 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.6 seconds. ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 finished in 0.7 seconds. ## Chain 3 finished in 0.7 seconds. ## Chain 4 finished in 0.7 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 0.7 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 0.7 seconds. ## Chain 7 finished in 0.7 seconds. ## Chain 8 finished in 0.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.7 seconds. ## Total execution time: 0.9 seconds. ## ℹ Fitting segment with index 35 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 finished in 0.8 seconds. ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 finished in 0.9 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.1 seconds. ## Chain 4 finished in 1.1 seconds. ## Chain 5 finished in 1.0 seconds. ## Chain 6 finished in 1.1 seconds. ## Chain 8 finished in 1.0 seconds. ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 1.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.0 seconds. ## Total execution time: 1.3 seconds. ## ℹ Fitting segment with index 36 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 3.3 seconds. ## Chain 6 finished in 3.2 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 3.3 seconds. ## Chain 3 finished in 3.3 seconds. ## Chain 4 finished in 3.2 seconds. ## Chain 7 finished in 3.2 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.3 seconds. ## Chain 8 finished in 3.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.3 seconds. ## Total execution time: 3.5 seconds. ## ℹ Fitting segment with index 37 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 38 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 finished in 3.3 seconds. ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 finished in 3.5 seconds. ## Chain 5 finished in 3.4 seconds. ## Chain 6 finished in 3.4 seconds. ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 3.6 seconds. ## Chain 7 finished in 3.5 seconds. ## Chain 8 finished in 3.5 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 3.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.5 seconds. ## Total execution time: 3.8 seconds. ## ℹ Fitting segment with index 40 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 3.3 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 3.3 seconds. ## Chain 3 finished in 3.4 seconds. ## Chain 4 finished in 3.4 seconds. ## Chain 6 finished in 3.2 seconds. ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.3 seconds. ## Chain 8 finished in 3.3 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.3 seconds. ## Total execution time: 3.7 seconds. ## ℹ Fitting segment with index 41 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 2.5 seconds. ## Chain 2 finished in 2.5 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 finished in 2.6 seconds. ## Chain 4 finished in 2.6 seconds. ## Chain 5 finished in 2.5 seconds. ## Chain 6 finished in 2.6 seconds. ## Chain 7 finished in 2.5 seconds. ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 2.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.6 seconds. ## Total execution time: 2.8 seconds. ## ℹ Fitting segment with index 43 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 54 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 0.3 seconds. ## Chain 2 finished in 0.3 seconds. ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 0.3 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 0.3 seconds. ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 0.3 seconds. ## Chain 7 finished in 0.3 seconds. ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.3 seconds. ## Total execution time: 0.5 seconds. ## ℹ Fitting segment with index 55 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.0 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 56 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 2.9 seconds. ## Chain 5 finished in 2.9 seconds. ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 finished in 3.1 seconds. ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 3.3 seconds. ## Chain 4 finished in 3.3 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 3.3 seconds. ## Chain 8 finished in 3.2 seconds. ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.3 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.2 seconds. ## Total execution time: 3.6 seconds. ## ℹ Fitting segment with index 59 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 1.3 seconds. ## Chain 2 finished in 1.3 seconds. ## Chain 3 finished in 1.3 seconds. ## Chain 4 finished in 1.3 seconds. ## Chain 5 finished in 1.2 seconds. ## Chain 6 finished in 1.2 seconds. ## Chain 7 finished in 1.3 seconds. ## Chain 8 finished in 1.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.3 seconds. ## Total execution time: 1.4 seconds. ## ℹ Fitting segment with index 68 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 2.9 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.0 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 3.1 seconds. ## Chain 3 finished in 3.1 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.0 seconds. ## Chain 7 finished in 3.0 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 3.0 seconds. ## Chain 8 finished in 3.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.0 seconds. ## Total execution time: 3.2 seconds. ## ℹ Fitting segment with index 69 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 2.6 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 finished in 2.7 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 2.8 seconds. ## Chain 4 finished in 2.7 seconds. ## Chain 5 finished in 2.8 seconds. ## Chain 6 finished in 2.7 seconds. ## Chain 7 finished in 2.7 seconds. ## Chain 8 finished in 2.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.7 seconds. ## Total execution time: 2.9 seconds. ## ℹ Fitting segment with index 70 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 finished in 1.3 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 1.4 seconds. ## Chain 3 finished in 1.4 seconds. ## Chain 4 finished in 1.4 seconds. ## Chain 5 finished in 1.4 seconds. ## Chain 6 finished in 1.3 seconds. ## Chain 7 finished in 1.4 seconds. ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 1.4 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.4 seconds. ## Total execution time: 1.6 seconds. ## ℹ Fitting segment with index 75 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 1.9 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.9 seconds. ## Chain 3 finished in 1.9 seconds. ## Chain 5 finished in 1.9 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.9 seconds. ## Chain 6 finished in 1.9 seconds. ## Chain 7 finished in 1.9 seconds. ## Chain 8 finished in 1.9 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.9 seconds. ## Total execution time: 2.1 seconds. ## ℹ Fitting segment with index 77 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 finished in 1.0 seconds. ## Chain 3 finished in 1.0 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 finished in 1.1 seconds. ## Chain 4 finished in 1.1 seconds. ## Chain 5 finished in 1.0 seconds. ## Chain 6 finished in 1.1 seconds. ## Chain 7 finished in 1.0 seconds. ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 1.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.1 seconds. ## Total execution time: 1.3 seconds. ## ℹ Fitting segment with index 79 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 finished in 4.4 seconds. ## Chain 3 finished in 4.5 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 4.6 seconds. ## Chain 4 finished in 4.6 seconds. ## Chain 5 finished in 4.5 seconds. ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 4.7 seconds. ## Chain 7 finished in 4.7 seconds. ## Chain 8 finished in 4.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.6 seconds. ## Total execution time: 4.9 seconds. ## ℹ Fitting segment with index 87 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 88 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 92 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 94 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 100 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.3 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 102 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 105 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 106 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 108 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 112 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 114 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 115 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 119 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 126 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 4.5 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 4.7 seconds. ## Chain 8 finished in 4.7 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 finished in 4.9 seconds. ## Chain 4 finished in 4.8 seconds. ## Chain 5 finished in 4.8 seconds. ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 finished in 5.0 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 5.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.8 seconds. ## Total execution time: 5.2 seconds. ## ℹ Fitting segment with index 128 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 finished in 3.7 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 3.8 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 3.9 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.9 seconds. ## Chain 7 finished in 3.8 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 finished in 4.0 seconds. ## Chain 6 finished in 3.9 seconds. ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 4.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.9 seconds. ## Total execution time: 4.2 seconds. ## ℹ Fitting segment with index 129 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 130 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 2.1 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 2.2 seconds. ## Chain 2 finished in 2.2 seconds. ## Chain 4 finished in 2.1 seconds. ## Chain 5 finished in 2.1 seconds. ## Chain 7 finished in 2.1 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 2.2 seconds. ## Chain 8 finished in 2.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.2 seconds. ## Total execution time: 2.4 seconds. ## ℹ Fitting segment with index 131 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 133 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 134 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 finished in 0.5 seconds. ## Chain 2 finished in 0.5 seconds. ## Chain 3 finished in 0.5 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 0.5 seconds. ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 0.6 seconds. ## Chain 6 finished in 0.5 seconds. ## Chain 7 finished in 0.5 seconds. ## Chain 8 finished in 0.5 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.5 seconds. ## Total execution time: 0.7 seconds. ## ℹ Fitting segment with index 135 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 finished in 1.3 seconds. ## Chain 2 finished in 1.3 seconds. ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 1.3 seconds. ## Chain 4 finished in 1.4 seconds. ## Chain 6 finished in 1.3 seconds. ## Chain 8 finished in 1.3 seconds. ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 1.4 seconds. ## Chain 7 finished in 1.4 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.3 seconds. ## Total execution time: 1.6 seconds. ## ℹ Fitting segment with index 145 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 6.5 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 finished in 6.7 seconds. ## Chain 5 finished in 6.7 seconds. ## Chain 6 finished in 6.6 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 6.8 seconds. ## Chain 8 finished in 6.7 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 6.8 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 7.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 6.7 seconds. ## Total execution time: 7.1 seconds. ## ℹ Fitting segment with index 149 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 1.5 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.6 seconds. ## Chain 3 finished in 1.5 seconds. ## Chain 4 finished in 1.5 seconds. ## Chain 6 finished in 1.5 seconds. ## Chain 7 finished in 1.5 seconds. ## Chain 8 finished in 1.5 seconds. ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 1.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.5 seconds. ## Total execution time: 1.8 seconds. ## ℹ Fitting segment with index 150 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 finished in 4.6 seconds. ## Chain 6 finished in 4.7 seconds. ## Chain 7 finished in 4.6 seconds. ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 finished in 4.8 seconds. ## Chain 2 finished in 4.8 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 4.9 seconds. ## Chain 5 finished in 4.8 seconds. ## Chain 8 finished in 4.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 4.7 seconds. ## Total execution time: 5.0 seconds. ## ℹ Fitting segment with index 154 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 4.8 seconds. ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 finished in 5.2 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 finished in 5.3 seconds. ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 finished in 5.4 seconds. ## Chain 7 finished in 5.4 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 5.6 seconds. ## Chain 8 finished in 5.4 seconds. ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 5.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 5.3 seconds. ## Total execution time: 5.9 seconds. ## ℹ Fitting segment with index 155 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 165 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.6 seconds. ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 0.8 seconds. ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 0.7 seconds. ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 0.7 seconds. ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 0.7 seconds. ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 0.6 seconds. ## Chain 8 finished in 0.5 seconds. ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 0.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.7 seconds. ## Total execution time: 1.1 seconds. ## ℹ Fitting segment with index 168 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 170 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 finished in 1.9 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.9 seconds. ## Chain 4 finished in 1.8 seconds. ## Chain 5 finished in 1.8 seconds. ## Chain 7 finished in 1.8 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 1.9 seconds. ## Chain 6 finished in 1.9 seconds. ## Chain 8 finished in 1.8 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.9 seconds. ## Total execution time: 2.1 seconds. ## ℹ Fitting segment with index 173 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 finished in 1.0 seconds. ## Chain 4 finished in 0.9 seconds. ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 1.1 seconds. ## Chain 3 finished in 1.1 seconds. ## Chain 7 finished in 1.0 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 1.1 seconds. ## Chain 6 finished in 1.1 seconds. ## Chain 8 finished in 1.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.0 seconds. ## Total execution time: 1.3 seconds. ## ℹ Fitting segment with index 175 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 finished in 3.1 seconds. ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 3.5 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 3.6 seconds. ## Chain 3 finished in 3.6 seconds. ## Chain 4 finished in 3.6 seconds. ## Chain 6 finished in 3.6 seconds. ## Chain 8 finished in 3.5 seconds. ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 3.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 3.5 seconds. ## Total execution time: 3.8 seconds. ## ℹ Fitting segment with index 176 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.2 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 177 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 1.2 seconds. ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 finished in 1.2 seconds. ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 1.3 seconds. ## Chain 5 finished in 1.2 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 1.2 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 finished in 1.3 seconds. ## Chain 7 finished in 1.2 seconds. ## Chain 8 finished in 1.2 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.2 seconds. ## Total execution time: 1.4 seconds. ## ℹ Fitting segment with index 178 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 180 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 2.0 seconds. ## Chain 2 finished in 2.0 seconds. ## Chain 3 finished in 2.0 seconds. ## Chain 4 finished in 2.0 seconds. ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 finished in 2.0 seconds. ## Chain 7 finished in 1.9 seconds. ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 2.1 seconds. ## Chain 8 finished in 2.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.0 seconds. ## Total execution time: 2.2 seconds. ## ℹ Fitting segment with index 181 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.1 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.4 seconds. ## ℹ Fitting segment with index 182 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 finished in 2.7 seconds. ## Chain 2 finished in 2.7 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 finished in 2.8 seconds. ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 finished in 2.9 seconds. ## Chain 5 finished in 2.8 seconds. ## Chain 6 finished in 2.8 seconds. ## Chain 7 finished in 2.8 seconds. ## Chain 8 finished in 2.7 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.8 seconds. ## Total execution time: 3.0 seconds. ## ℹ Fitting segment with index 187 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 finished in 0.8 seconds. ## Chain 3 finished in 0.8 seconds. ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 finished in 0.8 seconds. ## Chain 4 finished in 0.8 seconds. ## Chain 5 finished in 0.8 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 0.9 seconds. ## Chain 7 finished in 0.8 seconds. ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 0.8 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.8 seconds. ## Total execution time: 1.0 seconds. ## ℹ Fitting segment with index 189 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 1.9 seconds. ## Chain 8 finished in 1.8 seconds. ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 finished in 2.0 seconds. ## Chain 2 finished in 2.0 seconds. ## Chain 4 finished in 1.9 seconds. ## Chain 5 finished in 2.0 seconds. ## Chain 6 finished in 1.9 seconds. ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 finished in 2.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 1.9 seconds. ## Total execution time: 2.2 seconds. ## ℹ Fitting segment with index 190 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.0 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.0 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 192 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.0 seconds. ## Chain 2 finished in 0.1 seconds. ## Chain 3 finished in 0.1 seconds. ## Chain 4 finished in 0.1 seconds. ## Chain 5 finished in 0.1 seconds. ## Chain 6 finished in 0.1 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.0 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.1 seconds. ## Total execution time: 0.3 seconds. ## ℹ Fitting segment with index 193 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 finished in 2.6 seconds. ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 finished in 2.6 seconds. ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 finished in 2.5 seconds. ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 finished in 2.7 seconds. ## Chain 4 finished in 2.6 seconds. ## Chain 5 finished in 2.6 seconds. ## Chain 7 finished in 2.6 seconds. ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 finished in 2.6 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 2.6 seconds. ## Total execution time: 2.8 seconds. ## ℹ Fitting segment with index 194 ## Running MCMC with 8 parallel chains... ## ## Chain 1 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 1 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 1 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 1 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 1 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 1 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 1 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 1 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 1 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 1 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 1 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 1 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 1 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 1 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 1 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 1 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 1 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 1 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 1 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 1 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 1 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 1 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 1 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 1 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 1 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 1 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 1 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 1 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 1 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 1 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 1 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 1 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 1 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 1 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 1 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 1 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 1 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 1 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 1 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 1 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 1 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 1 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 2 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 2 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 2 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 2 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 2 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 2 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 2 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 2 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 2 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 2 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 2 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 2 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 2 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 2 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 2 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 2 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 2 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 2 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 2 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 2 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 2 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 2 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 2 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 2 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 2 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 2 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 2 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 2 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 2 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 2 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 2 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 2 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 2 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 2 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 2 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 2 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 2 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 2 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 2 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 2 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 2 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 2 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 3 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 3 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 3 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 3 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 3 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 3 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 3 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 3 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 3 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 3 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 3 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 3 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 3 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 3 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 3 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 3 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 3 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 3 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 3 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 3 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 3 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 3 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 3 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 3 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 3 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 3 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 3 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 3 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 3 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 3 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 3 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 3 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 3 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 3 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 3 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 3 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 3 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 3 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 3 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 3 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 3 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 3 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 4 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 4 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 4 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 4 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 4 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 4 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 4 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 4 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 4 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 4 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 4 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 4 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 4 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 4 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 4 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 4 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 4 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 4 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 4 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 4 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 4 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 4 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 4 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 4 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 4 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 4 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 4 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 4 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 4 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 4 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 4 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 4 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 4 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 4 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 4 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 4 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 4 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 4 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 4 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 4 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 4 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 4 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 5 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 5 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 5 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 5 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 5 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 5 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 5 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 5 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 5 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 5 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 5 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 5 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 5 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 5 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 5 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 5 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 5 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 5 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 5 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 5 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 5 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 5 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 5 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 5 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 5 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 5 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 5 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 5 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 5 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 5 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 5 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 5 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 5 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 5 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 5 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 5 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 5 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 5 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 5 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 5 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 5 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 5 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 6 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 6 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 6 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 6 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 6 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 6 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 6 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 6 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 6 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 6 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 6 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 6 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 6 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 6 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 6 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 6 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 6 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 6 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 6 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 6 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 6 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 6 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 6 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 6 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 6 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 6 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 6 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 6 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 6 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 6 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 6 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 6 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 6 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 6 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 6 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 6 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 6 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 6 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 6 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 6 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 6 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 6 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 7 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 7 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 7 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 7 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 7 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 7 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 7 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 7 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 7 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 7 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 7 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 7 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 7 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 7 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 7 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 7 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 7 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 7 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 7 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 7 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 7 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 7 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 7 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 7 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 7 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 7 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 7 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 7 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 7 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 7 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 7 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 7 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 7 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 7 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 7 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 7 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 7 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 7 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 7 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 7 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 7 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 7 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 8 Iteration: 1 / 4000 [ 0%] (Warmup) ## Chain 8 Iteration: 100 / 4000 [ 2%] (Warmup) ## Chain 8 Iteration: 200 / 4000 [ 5%] (Warmup) ## Chain 8 Iteration: 300 / 4000 [ 7%] (Warmup) ## Chain 8 Iteration: 400 / 4000 [ 10%] (Warmup) ## Chain 8 Iteration: 500 / 4000 [ 12%] (Warmup) ## Chain 8 Iteration: 600 / 4000 [ 15%] (Warmup) ## Chain 8 Iteration: 700 / 4000 [ 17%] (Warmup) ## Chain 8 Iteration: 800 / 4000 [ 20%] (Warmup) ## Chain 8 Iteration: 900 / 4000 [ 22%] (Warmup) ## Chain 8 Iteration: 1000 / 4000 [ 25%] (Warmup) ## Chain 8 Iteration: 1100 / 4000 [ 27%] (Warmup) ## Chain 8 Iteration: 1200 / 4000 [ 30%] (Warmup) ## Chain 8 Iteration: 1300 / 4000 [ 32%] (Warmup) ## Chain 8 Iteration: 1400 / 4000 [ 35%] (Warmup) ## Chain 8 Iteration: 1500 / 4000 [ 37%] (Warmup) ## Chain 8 Iteration: 1600 / 4000 [ 40%] (Warmup) ## Chain 8 Iteration: 1700 / 4000 [ 42%] (Warmup) ## Chain 8 Iteration: 1800 / 4000 [ 45%] (Warmup) ## Chain 8 Iteration: 1900 / 4000 [ 47%] (Warmup) ## Chain 8 Iteration: 2000 / 4000 [ 50%] (Warmup) ## Chain 8 Iteration: 2001 / 4000 [ 50%] (Sampling) ## Chain 8 Iteration: 2100 / 4000 [ 52%] (Sampling) ## Chain 8 Iteration: 2200 / 4000 [ 55%] (Sampling) ## Chain 8 Iteration: 2300 / 4000 [ 57%] (Sampling) ## Chain 8 Iteration: 2400 / 4000 [ 60%] (Sampling) ## Chain 8 Iteration: 2500 / 4000 [ 62%] (Sampling) ## Chain 8 Iteration: 2600 / 4000 [ 65%] (Sampling) ## Chain 8 Iteration: 2700 / 4000 [ 67%] (Sampling) ## Chain 8 Iteration: 2800 / 4000 [ 70%] (Sampling) ## Chain 8 Iteration: 2900 / 4000 [ 72%] (Sampling) ## Chain 8 Iteration: 3000 / 4000 [ 75%] (Sampling) ## Chain 8 Iteration: 3100 / 4000 [ 77%] (Sampling) ## Chain 8 Iteration: 3200 / 4000 [ 80%] (Sampling) ## Chain 8 Iteration: 3300 / 4000 [ 82%] (Sampling) ## Chain 8 Iteration: 3400 / 4000 [ 85%] (Sampling) ## Chain 8 Iteration: 3500 / 4000 [ 87%] (Sampling) ## Chain 8 Iteration: 3600 / 4000 [ 90%] (Sampling) ## Chain 8 Iteration: 3700 / 4000 [ 92%] (Sampling) ## Chain 8 Iteration: 3800 / 4000 [ 95%] (Sampling) ## Chain 8 Iteration: 3900 / 4000 [ 97%] (Sampling) ## Chain 8 Iteration: 4000 / 4000 [100%] (Sampling) ## Chain 1 finished in 0.2 seconds. ## Chain 2 finished in 0.2 seconds. ## Chain 3 finished in 0.2 seconds. ## Chain 4 finished in 0.2 seconds. ## Chain 5 finished in 0.2 seconds. ## Chain 6 finished in 0.2 seconds. ## Chain 7 finished in 0.1 seconds. ## Chain 8 finished in 0.1 seconds. ## ## All 8 chains finished successfully. ## Mean chain execution time: 0.2 seconds. ## Total execution time: 0.4 seconds."},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"results","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Results","title":"2. Timing Clonal Peaks","text":"results object contains two components: inference_results summarized_results. can inspect understand timing clonal peaks:","code":"# View summarized results results$summarized_results ## # A tibble: 72 × 7 ## tau_low tau_mean tau_high segment karyotype chr segment_id ## ## 1 0.808 0.890 0.953 2 2:2 chr1 chr1_790009_13212499 ## 2 0.844 0.912 0.963 3 2:2 chr1 chr1_13212500_33458785 ## 3 0.818 0.888 0.942 5 2:2 chr1 chr1_33564127_56834601 ## 4 0.863 0.903 0.936 6 2:2 chr1 chr1_56834602_121499999 ## 5 0.393 0.683 0.892 10 2:2 chr1 chr1_143277461_149255831 ## 6 0.807 0.866 0.914 11 2:2 chr1 chr1_149255832_196892499 ## 7 0.811 0.863 0.909 12 2:2 chr1 chr1_196892500_247247500 ## 8 0.541 0.791 0.947 13 2:2 chr1 chr1_247247501_249250620 ## 9 0.769 0.825 0.875 30 2:2 chr4 chr4_74473_48199999 ## 10 0.464 0.770 0.956 31 2:2 chr4 chr4_48200000_52699999 ## # ℹ 62 more rows # View detailed inference results results$inference_results ## # A tibble: 1,152,000 × 5 ## tau segment karyotype chr segment_id ## ## 1 0.890 2 2:2 chr1 chr1_790009_13212499 ## 2 0.882 2 2:2 chr1 chr1_790009_13212499 ## 3 0.878 2 2:2 chr1 chr1_790009_13212499 ## 4 0.890 2 2:2 chr1 chr1_790009_13212499 ## 5 0.881 2 2:2 chr1 chr1_790009_13212499 ## 6 0.933 2 2:2 chr1 chr1_790009_13212499 ## 7 0.918 2 2:2 chr1 chr1_790009_13212499 ## 8 0.896 2 2:2 chr1 chr1_790009_13212499 ## 9 0.865 2 2:2 chr1 chr1_790009_13212499 ## 10 0.924 2 2:2 chr1 chr1_790009_13212499 ## # ℹ 1,151,990 more rows"},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"interpreting-the-output","dir":"Articles","previous_headings":"Analyzing tickTack::pcawg_example","what":"Interpreting the output","title":"2. Timing Clonal Peaks","text":"inference_results: Contains posterior distributions timing estimates (tau) segment. summarized_results: Provides mean, lower bound, upper bound timing estimates segment.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a2_Single_segment_timing.html","id":"visulizing-the-output","dir":"Articles","previous_headings":"","what":"Visulizing the output","title":"2. Timing Clonal Peaks","text":"results can viewed genome-wise perspective using tickTack::plot_timing function","code":"tickTack::plot_timing(results, segments, colour_by = \"karyotype\")"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"key-components-of-the-analysis","dir":"Articles","previous_headings":"","what":"Key Components of the Analysis","title":"3. Understanding Timing Clonal Peaks","text":"timing results obtained following steps: Extracting clonal peaks: Theoretical peaks Variant Allele Frequency (VAF) spectrum calculated specific karyotypes tumor purity. Filtering mutations: Mutations within confidence intervals around peaks selected analysis. Fitting model: Bayesian inference performed using Stan model estimate timing clonal expansions.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"step-1-calculating-clonal-peaks","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Step 1: Calculating Clonal Peaks","title":"3. Understanding Timing Clonal Peaks","text":"clonal peaks calculated using get_clonal_peaks function. function computes theoretical VAF peaks based karyotype tumor purity. computed using following equation: Peaki=Mi⋅P(Ntot⋅P)+2⋅(1−P) \\text{Peak}_i = \\frac{M_i \\cdot P}{(N_{\\text{tot}} \\cdot P) + 2 \\cdot (1 - P)} : - MiM_i: multiplicity allele interest (e.g., major allele single copy heterozygosity). - PP: tumor purity (value 0 1). - NtotN_{\\text{tot}}: total number copies karyotype (e.g., sum major minor alleles). - 22: Accounts two copies normal diploid cells.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"explanation","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 1: Calculating Clonal Peaks","what":"Explanation","title":"3. Understanding Timing Clonal Peaks","text":"numerator, Mi⋅PM_i \\cdot P, represents contribution tumor cell’s allele multiplicity adjusted tumor purity. denominator, (Ntot⋅P)+2⋅(1−P)(N_{\\text{tot}} \\cdot P) + 2 \\cdot (1 - P), normalizes peak account contributions tumor normal diploid cells sample.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"example-calculation","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 1: Calculating Clonal Peaks","what":"Example Calculation","title":"3. Understanding Timing Clonal Peaks","text":"karyotype $k = \"2:1\"$ (major allele = 2, minor allele = 1) tumor purity P=0.4P = 0.4: Ntot=2+1=3N_{\\text{tot}} = 2 + 1 = 3. Compute peaks Mi=1M_i = 1 (single allele) Mi=2M_i = 2 (major allele): Peak1=1⋅0.4(3⋅0.4)+2⋅(1−0.4)=0.41.2+1.2=0.1667 \\text{Peak}_1 = \\frac{1 \\cdot 0.4}{(3 \\cdot 0.4) + 2 \\cdot (1 - 0.4)} = \\frac{0.4}{1.2 + 1.2} = 0.1667 Peak2=2⋅0.4(3⋅0.4)+2⋅(1−0.4)=0.81.2+1.2=0.3333 \\text{Peak}_2 = \\frac{2 \\cdot 0.4}{(3 \\cdot 0.4) + 2 \\cdot (1 - 0.4)} = \\frac{0.8}{1.2 + 1.2} = 0.3333","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"step-2-filtering-mutations","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Step 2: Filtering Mutations","title":"3. Understanding Timing Clonal Peaks","text":"peaks obtained, mutations within genomic segment filtered based whether VAF values fall within confidence interval around peaks. confidence intervals computed using either: Binomial distribution: standard VAF estimation Beta-binomial distribution: account overdispersion","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"filtering-logic","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 2: Filtering Mutations","what":"Filtering logic","title":"3. Understanding Timing Clonal Peaks","text":"mutation, number variant reads (NV) compared confidence interval calculated depth (DP) peak: mutations passing test used model fitting.","code":"# Example pseudo-code for filtering probs <- c(alpha / 2, 1 - alpha / 2) for (p in peaks) { quantiles <- qbinom(probs, DP, p) # or qbb for beta-binomial if (NV >= quantiles[1] && NV <= quantiles[2]) { # Mutation is accepted } }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"step-3-bayesian-inference-with-stan","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Step 3: Bayesian Inference with Stan","title":"3. Understanding Timing Clonal Peaks","text":"final step fit Stan model filtered mutations. model estimates posterior distribution tau, represents timing clonal expansions. stan code used model divided following pieces.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"data-block","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 3: Bayesian Inference with Stan","what":"Data block","title":"3. Understanding Timing Clonal Peaks","text":", data block defines inputs model uses: N: Total number mutations analyze. NV: Number variant reads observed mutation. DP: Total sequencing depth mutation. peaks: array two real values representing theoretical clonal peaks (e.g., 2:1 2:2 ratios hypothesized clonal frequencies).","code":"data { int N; array[N] int NV; array[N] int DP; array[2] real peaks; }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"parameters-block","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 3: Bayesian Inference with Stan","what":"Parameters block","title":"3. Understanding Timing Clonal Peaks","text":"parameters block contains: omega: vector representing probability contributions theoretical peak. follows Dirichlet distribution (standard approach modeling probabilities sum 1).","code":"parameters { simplex[2] omega; }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"model-block","dir":"Articles","previous_headings":"Key Components of the Analysis > Step 3: Bayesian Inference with Stan","what":"Model block","title":"3. Understanding Timing Clonal Peaks","text":"model block contains three components: Prior: line omega ~ dirichlet(rep_vector(2.0, 2)); applies uniform Dirichlet prior karyotype mixture probabilities (omega). means priori favor one clonal peak unless data evidence. Likelihood: likelihood computed using binomial_lpmf(NV[] | DP[], peaks[k]) (Negative binomial). term computes probability observing NV[] variant reads given sequencing depth DP[] given theoretical clonal peak value peaks[k]. Marginalization: line log_sum_exp(contributions) computes log marginal likelihood summing possible contributions (karyotypes) using softmax approach, allowing model integrate possible karyotype contributions (omega).","code":"model { vector[2] contributions; omega ~ dirichlet(rep_vector(2.0, 2)); for (i in 1:N) { for (k in 1:2) { contributions[k] = log(omega[k]) + binomial_lpmf(NV[i] | DP[i], peaks[k]); } target += log_sum_exp(contributions); } }"},{"path":"https://caravagnalab.github.io/tickTack/articles/a3_Understanding_single_segment_timing.html","id":"final-step-conversion-from-omega-to-tau","dir":"Articles","previous_headings":"Key Components of the Analysis","what":"Final Step: Conversion from omega to tau","title":"3. Understanding Timing Clonal Peaks","text":"fitting Bayesian model, posterior probabilities (omega) represent contribution theoretical clonal peaks. convert probabilities clonal timing estimates (tau) using following equations. 2:1 karyotypes: τ=3ω22ω2+ω1 \\tau = \\frac{3\\omega_2}{2\\omega_2 + \\omega_1} 2:2 2:0 karyotypes: τ=2ω22ω2+ω1 \\tau = \\frac{2\\omega_2}{2\\omega_2 + \\omega_1}","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/tickTack.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"tickTack","text":"tickTack requires input CNAqc object attributes cna, mutations metadata. main input tool : read counts somatic mutations single-nucleotide variants (SNVs) mutation attribute; allele-specific copy number segments (CNAs) clonal segments must encoded cna attribute; tumor purity estimate metadata. tool uses chromosome coordinates map mutations segments. conversion relative absolute genome coordinates requires fix reference genome build; supported reference GRCh38/hg17 also supported CNAqc. tickTack can used : time genomic segments affected Copy Number event, obtaining one clock per segment time multiple CNAs hierarchical fashion, identifying KK clocks cluster segemnts together. following concepts used infer copy number timing.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/tickTack.html","id":"vaf-peaks","dir":"Articles","previous_headings":"Overview","what":"VAF peaks","title":"tickTack","text":"point mutations present duplicated region duplicated copy segment. Therefore can use proportion mutations happede Copy Number event distinguishing mutations single copy double copies. Therefore, single segment value clock associated Copy Number event obtained transformation proportions mutations single double copy. following quantities need considered: case trisomy without LOH, can consider fact , τ\\tau, 1 chromosome accumulate mutations duplicate, accumulate mutations remain single copy. hand, τ\\tau, chromosomes accumulate mutations remain single copy. Therefore one can write system: {N2=ρτN1=ρτ+3ρ(1−τ)\\begin{align} \\begin{cases} N_2 = \\rho \\tau N_1 = \\rho \\tau + 3\\rho(1 - \\tau) \\nonumber \\end{cases} \\end{align} Using first one obtain ρ\\rho inserting second one, solution τ\\tau becomes: $$\\begin{equation} N_1 = N_2 + \\frac{3N_2}{\\tau}(1-\\tau) \\hspace{2mm} \\rightarrow \\hspace{2mm} N_1 + 2N_2 = \\frac{3N_2}{\\tau} \\hspace{2mm} \\rightarrow \\hspace{2mm} \\tau = \\frac{3N_2}{N_1 + 2N_2} \\end{equation}$$ case CNLOH segment doubling can treated together. fact, first case, τ\\tau mutations duplicate accumulate single chromosome τ\\tau mutations remain single copy accumulate two chromosomes. system therefore becomes: {N2=ρτN1=2ρ(1−τ)\\begin{align} \\begin{cases} N_2 = \\rho \\tau N_1 = 2\\rho(1 - \\tau) \\nonumber \\end{cases} \\end{align} similar things happens case 2:2, difference number chromosomes accumulating certain type mutation double, τ\\tau. Hence, system becomes: {N2=2ρτN1=4ρ(1−τ)\\begin{align} \\begin{cases} N_2 = 2\\rho \\tau N_1 = 4\\rho(1 - \\tau) \\nonumber \\end{cases} \\end{align} Therefore, two system can solved similarly (can simply drop factor 2 second case). solution τ\\tau easily becomes: $$\\begin{equation} N_1 = \\frac{2N_2(1-\\tau)}{\\tau} \\hspace{2mm} \\rightarrow \\hspace{2mm} \\tau(N_1 + 2N_2) = 2N_2 \\hspace{2mm} \\rightarrow \\hspace{2mm} \\tau = \\frac{2N_2}{2N_2 + N_1} \\end{equation}$$","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/tickTack.html","id":"clonal-cnas","dir":"Articles","previous_headings":"Overview","what":"Clonal CNAs","title":"tickTack","text":"Consider: mutations sitting segment nA:nBnA:nB; tumour purity π\\pi; healthy diploid normal; Since proportion reads tumour π(nA+nB)\\pi(n_A+n_B), normal 2(1−π)2(1-\\pi). , muations present mm copies tumour genome peak VAF value vm(c)=mπc2(1−π)+π(nA+nB). v_m(c) = \\dfrac{m \\pi c}{ 2 (1 - \\pi) + \\pi (n_A+n_B) } \\, . –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –> –>","code":""},{"path":"https://caravagnalab.github.io/tickTack/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"First Last. Author, maintainer.","code":""},{"path":"https://caravagnalab.github.io/tickTack/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Last F (2024). tickTack: Timing Inference Copy number alterations: Tracking Alterations Cancer Karyotypes. R package version 0.0.0.9, https://caravagnalab.github.io/tickTack/.","code":"@Manual{, title = {tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes}, author = {First Last}, year = {2024}, note = {R package version 0.0.0.9}, url = {https://caravagnalab.github.io/tickTack/}, }"},{"path":[]},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes","text":"","code":"# install.packages(\"devtools\") devtools::install_github(\"caravagnalab/tickTack\")"},{"path":"https://caravagnalab.github.io/tickTack/index.html","id":"copyright-and-contacts","dir":"","previous_headings":"Installation","what":"Copyright and contacts","title":"Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes","text":"Cancer Data Science (CDS) Laboratory, University Trieste, Italy.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract CNAs. — CNA","title":"Extract CNAs. — CNA","text":"Getter obtain copy number calls object.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract CNAs. — CNA","text":"","code":"CNA(x, type = c(\"clonal\", \"subclonal\"))"},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract CNAs. — CNA","text":"x CNAqc object. type \"clonal\" clonal CNAs, \"subclonal\" subclonal CNAs.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/CNA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract CNAs. — CNA","text":"tibble data.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract mutations. — Mutations","title":"Extract mutations. — Mutations","text":"Getter obtain mutation calls object.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract mutations. — Mutations","text":"","code":"Mutations(x, cna = c(\"clonal\", \"subclonal\"), type = c(\"SNV\", \"indel\"))"},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract mutations. — Mutations","text":"x CNAqc object. cna \"clonal\" clonal CNAs, \"subclonal\" subclonal CNAs. type \"SNV\" single-nucleotide variants, \"indel\" insertion-deletions.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/Mutations.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract mutations. — Mutations","text":"tibble data.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":null,"dir":"Reference","previous_headings":"","what":"GRCh38 coordinates — chr_coordinates_GRCh38","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":"Reference coordinates (GRCh38)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":"","code":"chr_coordinates_GRCh38"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":"chr-coordinates-grch-","dir":"Reference","previous_headings":"","what":"chr_coordinates_GRCh38","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":"data frame: chr chromosome identifier length length chromosome Absolute coordinate chromosome start Absolute coordinate chromosome end centromerStart Absolute coordinate chromosome centromere start centromerEnd Absolute coordinate chromosome centromere end","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_GRCh38.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"GRCh38 coordinates — chr_coordinates_GRCh38","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":null,"dir":"Reference","previous_headings":"","what":"hg19 coordinates — chr_coordinates_hg19","title":"hg19 coordinates — chr_coordinates_hg19","text":"Reference coordinates (hg19)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"hg19 coordinates — chr_coordinates_hg19","text":"","code":"chr_coordinates_hg19"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":"chr-coordinates-hg-","dir":"Reference","previous_headings":"","what":"chr_coordinates_hg19","title":"hg19 coordinates — chr_coordinates_hg19","text":"data frame: chr chromosome identifier length length chromosome Absolute coordinate chromosome start Absolute coordinate chromosome end centromerStart Absolute coordinate chromosome centromere start centromerEnd Absolute coordinate chromosome centromere end","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/chr_coordinates_hg19.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"hg19 coordinates — chr_coordinates_hg19","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit timing of clonal peaks in cancer genome sequencing data — fit","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"function fits timing clonal peaks cancer genome sequencing data using either beta-binomial binomial model.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"","code":"fit( segments, mutations, purity, possible_k = c(\"2:1\", \"2:2\", \"2:0\"), alpha = 0.05, min_mutations_number = 2, beta_binomial = FALSE, beta_binomial_disp = 0.01 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"segments data frame containing segment information columns chr, , , Major, minor. mutations data frame containing mutation information columns chr, , , DP, NV. purity numeric value representing tumor purity. possible_k character vector possible karyotypes format \"Major:minor\". Default c(\"2:1\", \"2:2\", \"2:0\"). alpha numeric value significance level. Default 0.05. min_mutations_number integer specifying minimum number mutations required analysis. Default 2. beta_binomial logical value indicating whether use beta-binomial model. Default FALSE. beta_binomial_disp numeric value beta-binomial dispersion parameter. Default 0.01.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit timing of clonal peaks in cancer genome sequencing data — fit","text":"list containing two tibbles: inference_results summarized_results. Returns NULL results obtained.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the fit to obtain the clocks posteriors — fit_h","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"Obtain approximate posterior clocks model fit number components k_max.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"","code":"fit_h( x, max_attempts = 2, INIT = TRUE, tolerance = 0.01, possible_k = c(\"2:1\", \"2:2\", \"2:0\"), alpha = 0.05, min_mutations_number = 2, n_components = 0 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"x list: CNAqc object. max_attempts num: max number repeated inference ADVI INIT logical: boolean variable set initialization phase TRUE FALSE tolerance num: tolerance ELBO optimization procedure possible_k chr: \"2:1\" \"2:2\" \"2:0\" alpha num: (type double) confidence interval level choose data fall expected binomial intervals min_mutations_number num: (type double) minimum number accepted mutations segment included inference n_components number components specified user","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the fit to obtain the clocks posteriors — fit_h","text":"results_and_data = list(data = input_data_list, results = results, output_files_list = output_files_list)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":null,"dir":"Reference","previous_headings":"","what":"fit_variational Function — fit_variational_h","title":"fit_variational Function — fit_variational_h","text":"function performs inference using ADVI algorithm. Repeat inference fails repeat avoid local minima, taking best run.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"fit_variational Function — fit_variational_h","text":"","code":"fit_variational_h( input_data, max_attempts = 2, initialization = NULL, INIT = TRUE, initial_iter = 1000, grad_samples = 10, elbo_samples = 100, tolerance = 0.01 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"fit_variational Function — fit_variational_h","text":"input_data list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num max_attempts num: max number repeated inference ADVI initialization list: List 4: $w: num (1:S, 1:3), $tau: num (1:K), $phi: num (1:K), $kappa: num INIT logical: boolean variable set initialization phase TRUE FALSE initial_iter description grad_samples description elbo_samples description tolerance num: tolerance ELBO optimization procedure","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/fit_variational_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"fit_variational Function — fit_variational_h","text":"best_fit","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_clonal_peaks.html","id":null,"dir":"Reference","previous_headings":"","what":"get_clonal_peaks Function — get_clonal_peaks","title":"get_clonal_peaks Function — get_clonal_peaks","text":"Obtain theoretical peaks observed VAF spectrum.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_clonal_peaks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"get_clonal_peaks Function — get_clonal_peaks","text":"","code":"get_clonal_peaks(k, purity)"},{"path":"https://caravagnalab.github.io/tickTack/reference/get_clonal_peaks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"get_clonal_peaks Function — get_clonal_peaks","text":"k karyotype purity peaks","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":null,"dir":"Reference","previous_headings":"","what":"get_initialization — get_initialization","title":"get_initialization — get_initialization","text":"Perform c-means proportions mutations fall first second binomial interval (accepted mutations) retrieve centroids u matrix used initialization parameters.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"get_initialization — get_initialization","text":"","code":"get_initialization(input_data, purity, phi = c(), kappa = 5, alpha = 0.05)"},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"get_initialization — get_initialization","text":"input_data list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num purity num: (type = double) sample purity 0 1 phi parameters dirichlet reparametrization uniformly initialized kappa parameters dirichlet reparametrization alpha num: (type double) confidence interval level choose data fall expected binomial intervals","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/get_initialization.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"get_initialization — get_initialization","text":"inits list: List 4: $w: num (1:S, 1:3), $tau: num (1:K), $phi: num (1:K), $kappa: num","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/karyo_to_int.html","id":null,"dir":"Reference","previous_headings":"","what":"karyo_to_int Function — karyo_to_int","title":"karyo_to_int Function — karyo_to_int","text":"function allows change string representation CN events numeric values 0 - 1.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/karyo_to_int.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"karyo_to_int Function — karyo_to_int","text":"","code":"karyo_to_int(k)"},{"path":"https://caravagnalab.github.io/tickTack/reference/karyo_to_int.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"karyo_to_int Function — karyo_to_int","text":"k karyotype string","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":null,"dir":"Reference","previous_headings":"","what":"model_selection Function — model_selection_h","title":"model_selection Function — model_selection_h","text":"Perform model selection among models fit varying number mixture components (number clocks).","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"model_selection Function — model_selection_h","text":"","code":"model_selection_h( data, draws_and_summary, log_lik_matrix_list, elbo_iterations, n_components = 0 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"model_selection Function — model_selection_h","text":"data list k_max lists: $input_data:list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num draws_and_summary list lenght k_max draws form variational method summary statistics draws approximate posterior log_lik_matrix_list list lenght k_max elbo_iterations list lenght k_max n_components number components specified user","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/model_selection_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"model_selection Function — model_selection_h","text":"result_model_selection: list $best_fit, $best_K, $model_selection_tibble, $entropy_list)","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":null,"dir":"Reference","previous_headings":"","what":"pcawg_example — pcawg_example","title":"pcawg_example — pcawg_example","text":"Pcawg example test timing inference","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"pcawg_example — pcawg_example","text":"","code":"pcawg_example"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":"pcawg-example","dir":"Reference","previous_headings":"","what":"pcawg_example","title":"pcawg_example — pcawg_example","text":"list: mutations tibble observed mutations cna tibble observed copy number alterations metadata tibble containing sample metadata","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"pcawg_example — pcawg_example","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":null,"dir":"Reference","previous_headings":"","what":"pcawg_example_2 — pcawg_example_2","title":"pcawg_example_2 — pcawg_example_2","text":"Pcawg example test timing inference","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"pcawg_example_2 — pcawg_example_2","text":"","code":"pcawg_example_2"},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":"pcawg-example-","dir":"Reference","previous_headings":"","what":"pcawg_example_2","title":"pcawg_example_2 — pcawg_example_2","text":"list: mutations tibble observed mutations cna tibble observed copy number alterations metadata tibble containing sample metadata","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/pcawg_example_2.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"pcawg_example_2 — pcawg_example_2","text":".","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":null,"dir":"Reference","previous_headings":"","what":"plot_inference_h Function — plot_inference_h","title":"plot_inference_h Function — plot_inference_h","text":"function obtains list input data used stan model.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"plot_inference_h Function — plot_inference_h","text":"","code":"plot_inference_h( results, K, colour_by = \"karyotype\", split_contiguous_segments = TRUE )"},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"plot_inference_h Function — plot_inference_h","text":"results list(data = input_data_list, results = results, output_files_list = output_files_list) K mun: number clocks colour_by chr: default = \"karyotype\" split_contiguous_segments option plot segments' setalarion lines","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_inference_h.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"plot_inference_h Function — plot_inference_h","text":"p : plot inference results credibility intervals chromosome absolute positions","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"function generates plot showing timing clonal peaks cancer genome sequencing data.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"","code":"plot_timing(fit_results, segments, colour_by = \"karyotype\", ref = \"GRCh38\")"},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"fit_results list containing results fit_timing function, specifically summarized_results. segments data frame containing segment information columns chr, , , Major, minor. colour_by character string specifying variable color plot . Default \"karyotype\". ref Reference genome desired. Either 'GRCh38' 'hg19'","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/plot_timing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot timing of clonal peaks in cancer genome sequencing data — plot_timing","text":"ggplot object showing timing clonal peaks.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":null,"dir":"Reference","previous_headings":"","what":"prepare_input_data Function — prepare_input_data","title":"prepare_input_data Function — prepare_input_data","text":"function obtains list input data used stan model.","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"prepare_input_data Function — prepare_input_data","text":"","code":"prepare_input_data( mutations, segments, purity, possible_k = c(\"2:1\", \"2:2\", \"2:0\"), alpha = 0.05, min_mutations_number = 2 )"},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"prepare_input_data Function — prepare_input_data","text":"mutations list: output CNAqc Mutations(x), x CNAqc object segments list: output CNAqc CNA(x), x CNAqc object purity num: (type = double) sample purity 0 1 possible_k chr: \"2:1\" \"2:2\" \"2:0\" alpha num: (type double) confidence interval level choose data fall expected binomial intervals min_mutations_number num: (type double) minimum number accepted mutations segment included inference","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/prepare_input_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"prepare_input_data Function — prepare_input_data","text":"accepted_data: list $input_data:list: List 7: $S: int, $N: int, $karyotype: num (0 1), $seg_assignment: num, $peaks:List N num (1:2), $NV: num, $DP: num $accepted_cna: tibble (S × 5)(S3: tbl_df/tbl/data.frame): $segment_original_indx: int, $segment_name: chr, $segment_id: num, $karyotype: chr, $chr: chr","code":""},{"path":"https://caravagnalab.github.io/tickTack/reference/tickTack-package.html","id":null,"dir":"Reference","previous_headings":"","what":"tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package","title":"tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package","text":"package (one paragraph).","code":""},{"path":[]},{"path":"https://caravagnalab.github.io/tickTack/reference/tickTack-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes — tickTack-package","text":"Maintainer: First Last first.last@example.com (ORCID)","code":""}]
diff --git a/site.webmanifest b/site.webmanifest
new file mode 100644
index 0000000..4ebda26
--- /dev/null
+++ b/site.webmanifest
@@ -0,0 +1,21 @@
+{
+ "name": "",
+ "short_name": "",
+ "icons": [
+ {
+ "src": "/web-app-manifest-192x192.png",
+ "sizes": "192x192",
+ "type": "image/png",
+ "purpose": "maskable"
+ },
+ {
+ "src": "/web-app-manifest-512x512.png",
+ "sizes": "512x512",
+ "type": "image/png",
+ "purpose": "maskable"
+ }
+ ],
+ "theme_color": "#ffffff",
+ "background_color": "#ffffff",
+ "display": "standalone"
+}
\ No newline at end of file
diff --git a/web-app-manifest-192x192.png b/web-app-manifest-192x192.png
new file mode 100644
index 0000000..7ceec0f
Binary files /dev/null and b/web-app-manifest-192x192.png differ
diff --git a/web-app-manifest-512x512.png b/web-app-manifest-512x512.png
new file mode 100644
index 0000000..4067d21
Binary files /dev/null and b/web-app-manifest-512x512.png differ
-
-
diff --git a/reference/model_selection_h.html b/reference/model_selection_h.html
index a780acd..d80c0c1 100644
--- a/reference/model_selection_h.html
+++ b/reference/model_selection_h.html
@@ -1,5 +1,5 @@
-karyo_to_int Function
+karyo_to_int Function
karyo_to_int.Rd
-
-
diff --git a/reference/pcawg_example.html b/reference/pcawg_example.html
index 09e6437..c64b29b 100644
--- a/reference/pcawg_example.html
+++ b/reference/pcawg_example.html
@@ -1,5 +1,5 @@
-model_selection Function
+model_selection Function
model_selection_h.Rd
-
-
diff --git a/reference/pcawg_example_2.html b/reference/pcawg_example_2.html
index dd5376a..263c14a 100644
--- a/reference/pcawg_example_2.html
+++ b/reference/pcawg_example_2.html
@@ -1,5 +1,5 @@
-pcawg_example
+pcawg_example
pcawg_example.Rd
-
-
diff --git a/reference/plot_inference_h.html b/reference/plot_inference_h.html
index 1f02e83..d5c3e8f 100644
--- a/reference/plot_inference_h.html
+++ b/reference/plot_inference_h.html
@@ -1,5 +1,5 @@
-pcawg_example_2
+pcawg_example_2
pcawg_example_2.Rd
-
-
diff --git a/reference/plot_timing.html b/reference/plot_timing.html
index d0410ec..9237415 100644
--- a/reference/plot_timing.html
+++ b/reference/plot_timing.html
@@ -1,5 +1,5 @@
-plot_inference_h Function
+plot_inference_h Function
plot_inference_h.Rd
-
-
diff --git a/reference/prepare_input_data.html b/reference/prepare_input_data.html
index e07f039..c23be0b 100644
--- a/reference/prepare_input_data.html
+++ b/reference/prepare_input_data.html
@@ -1,5 +1,5 @@
-Plot timing of clonal peaks in cancer genome sequencing data
+Plot timing of clonal peaks in cancer genome sequencing data
plot_timing.Rd
-
-
diff --git a/reference/tickTack-package.html b/reference/tickTack-package.html
index 2477353..69823bd 100644
--- a/reference/tickTack-package.html
+++ b/reference/tickTack-package.html
@@ -1,5 +1,7 @@
-prepare_input_data Function
+prepare_input_data Function
prepare_input_data.Rd
-
-
tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes
+tickTack: Timing Inference for Copy number alterations: Tracking Alterations in Cancer Karyotypes
tickTack-package.Rd
-
diff --git a/search.json b/search.json
index 9afac5a..0d6f3fd 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://caravagnalab.github.io/tickTack/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2024 tickTack authors Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"input-data-structure","dir":"Articles","previous_headings":"","what":"Input Data Structure","title":"1. Introduction","text":"input data consists three components stored named elements list: mutations, cna, metadata. description component.","code":""},{"path":"https://caravagnalab.github.io/tickTack/articles/a1_introduction.html","id":"mutations","dir":"Articles","previous_headings":"Input Data Structure","what":"1. Mutations","title":"1. Introduction","text":"mutations component tibble containing information somatic mutations. row represents mutation, following columns: chr: Chromosome mutation occurs. : Start end positions mutation chromosome. ref alt: Reference alternate alleles. DP: Depth sequencing coverage mutation site. NV: Number reads supporting variant. VAF: Variant allele frequency, calculated NV / DP. sample: Unique identifier sample. example, first rows mutations look like :","code":"tickTack::pcawg_example$mutations %>% head() #> # A tibble: 6 × 9 #> chr from to ref alt DP NV VAF sample #> What the package does (one paragraph).
+ +What the package does (one paragraph).